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"venue": "NeurIPS 2024", "year": 2024, "url": "https://arxiv.org/abs/2406.12406" } ] }, { "id": "2024-credit-attribution-and-stable-compression", "title": "Credit Attribution and Stable Compression", "authors": "Roi Livni, Shay Moran, Kobbi Nissim, and Chirag Pabbaraju", "year": 2024, "topics": [ "learning-theory" ], "homepage": { "section": "highlight", "order": 1 }, "versions": [ { "type": "conference", "title": "Credit Attribution and Stable Compression", "authors": "Roi Livni, Shay Moran, Kobbi Nissim, and Chirag Pabbaraju", "venue": "NeurIPS 2024", "year": 2024, "url": "https://arxiv.org/abs/2406.15916" } ] }, { "id": "2024-ramsey-theorems-for-trees-and-a-general-private", "title": "Ramsey Theorems for Trees and a General `Private Learning Implies Online Learning' Theorem", "authors": "Simone Fioravanti, Steve Hanneke, Shay Moran, Hilla Schefler, and Iska Tsubari", "year": 2024, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "Ramsey Theorems for Trees and a General `Private Learning Implies Online Learning' Theorem", "authors": "Simone Fioravanti, Steve Hanneke, Shay Moran, Hilla Schefler, and Iska Tsubari", "venue": "FOCS 2024", "year": 2024, "url": "https://arxiv.org/abs/2407.07765" } ] }, { "id": "2024-local-borsuk-ulam-stability-and-replicability", "title": "Local Borsuk-Ulam, Stability, and Replicability", "authors": "Zachary Chase, Bogdan Chornomaz, Shay Moran, and Amir Yehudayoff", "year": 2024, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Local Borsuk-Ulam, Stability, and Replicability", "authors": "Zachary Chase, Bogdan Chornomaz, Shay Moran, and Amir Yehudayoff", "venue": "STOC 2024", "year": 2024, "url": "https://arxiv.org/abs/2311.01599" } ] }, { "id": "2024-the-real-price-of-bandit-information-in-multiclass", "title": "The Real Price of Bandit Information in Multiclass Classification", "authors": "Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, and Shay Moran", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "The Real Price of Bandit Information in Multiclass Classification", "authors": "Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, and Shay Moran", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2405.10027" } ] }, { "id": "2024-list-sample-compression-and-uniform-convergence", "title": "List Sample Compression and Uniform Convergence", "authors": "Steve Hanneke, Shay Moran, Tom Waknine", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "List Sample Compression and Uniform Convergence", "authors": "Steve Hanneke, Shay Moran, Tom Waknine", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2403.10889" } ] }, { "id": "2024-learnability-gaps-of-strategic-classification", "title": "Learnability Gaps of Strategic Classification", "authors": "Lee Cohen, Yishay Mansour, Shay Moran, Han Shao", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Learnability Gaps of Strategic Classification", "authors": "Lee Cohen, Yishay Mansour, Shay Moran, Han Shao", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2402.19303" } ] }, { "id": "2024-dual-vc-dimension-obstructs-sample-compression-by-embeddings", "title": "Dual VC Dimension Obstructs Sample Compression by Embeddings", "authors": "Zachary Chase, Bogdan Chornomaz, Steve Hanneke, Shay Moran, and Amir Yehudayoff", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Dual VC Dimension Obstructs Sample Compression by Embeddings", "authors": "Zachary Chase, Bogdan Chornomaz, Steve Hanneke, Shay Moran, and Amir Yehudayoff", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2405.17120" } ] }, { "id": "2024-a-theory-of-interpretable-approximations", "title": "A Theory of Interpretable Approximations", "authors": "Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, and Maximilian Thiessen", "year": 2024, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "A Theory of Interpretable Approximations", "authors": "Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, and Maximilian Thiessen", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2406.10529" } ] }, { "id": "2024-a-unified-characterization-of-private-learnability-via-graph", "title": "A Unified Characterization of Private Learnability via Graph Theory", "authors": "Noga Alon, Shay Moran, Hilla Schefler, and Amir Yehudayoff", "year": 2024, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "A Unified Characterization of Private Learnability via Graph Theory", "authors": "Noga Alon, Shay Moran, Hilla Schefler, and Amir Yehudayoff", "venue": "COLT 2024", "year": 2024, "url": "https://arxiv.org/abs/2304.03996" } ] }, { "id": "2024-open-problem-direct-sums-in-learning-theory", "title": "Open Problem: Direct Sums in Learning Theory", "authors": "Steve Hanneke, Shay Moran, and Tom Waknine", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Open Problem: Direct Sums in Learning Theory", "authors": "Steve Hanneke, Shay Moran, and Tom Waknine", "venue": "COLT 2024", "year": 2024, "url": "https://proceedings.mlr.press/v247/hanneke24c.html" } ] }, { "id": "2024-diagonalization-games", "title": "Diagonalization Games", "authors": "Noga Alon, Olivier Bousquet, Kasper Green Larsen, Shay Moran, Shlomo Moran", "year": 2024, "topics": [ "other" ], "homepage": { "section": "expository", "order": 1 }, "homepage_note": "Studies an elementary combinatorial game inspired by Cantor's diagonalization argument.", "versions": [ { "type": "journal", "title": "Diagonalization Games", "authors": "Noga Alon, Olivier Bousquet, Kasper Green Larsen, Shay Moran, Shlomo Moran", "venue": "American Mathematical Monthly (AMM) 2024", "year": 2024, "url": "https://arxiv.org/abs/2301.01924" } ] }, { "id": "2024-agnostic-online-learning-and-excellent-sets", "title": "Agnostic Online Learning and Excellent Sets", "authors": "Maryanthe Malliaris and Shay Moran", "year": 2024, "topics": [ "learning-theory" ], "versions": [ { "type": "journal", "title": "Agnostic Online Learning and Excellent Sets", "authors": "Maryanthe Malliaris and Shay Moran", "venue": "Transactions of the American Mathematical Society 2024", "year": 2024, "url": "https://arxiv.org/abs/2108.05569" } ] }, { "id": "2023-replicability-and-stability-in-learning", "title": "Replicability and stability in learning", "authors": "Zachary Chase, Shay Moran, and Amir Yehudayoff", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Replicability and stability in learning", "authors": "Zachary Chase, Shay Moran, and Amir Yehudayoff", "venue": "FOCS 2023", "year": 2023, "url": "https://arxiv.org/abs/2304.03757" } ] }, { "id": "2023-adversarial-resilience-in-sequential-prediction-via-abstention", "title": "Adversarial Resilience in Sequential Prediction via Abstention", "authors": "Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Adversarial Resilience in Sequential Prediction via Abstention", "authors": "Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty", "venue": "NeurIPS 2023", "year": 2023, "url": "https://arxiv.org/abs/2306.13119" } ] }, { "id": "2023-multiclass-boosting-simple-and-intuitive-weak-learning-criteria", "title": "Multiclass Boosting: Simple and Intuitive Weak Learning Criteria", "authors": "Nataly Brukhim, Amit Daniely, Yishay Mansour, and Shay Moran", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Multiclass Boosting: Simple and Intuitive Weak Learning Criteria", "authors": "Nataly Brukhim, Amit Daniely, Yishay Mansour, and Shay Moran", "venue": "NeurIPS 2023", "year": 2023 } ] }, { "id": "2023-a-trichotomy-for-transductive-online-learning", "title": "A Trichotomy for Transductive Online Learning", "authors": "Steve Hanneke, Shay Moran, and Jonathan Shafer", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "A Trichotomy for Transductive Online Learning", "authors": "Steve Hanneke, Shay Moran, and Jonathan Shafer", "venue": "NeurIPS 2023", "year": 2023, "url": "https://arxiv.org/abs/2311.06428" } ] }, { "id": "2023-on-differentially-private-online-prediction", "title": "On Differentially Private Online Prediction", "authors": "Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, and Uri Stemmer", "year": 2023, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "On Differentially Private Online Prediction", "authors": "Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, and Uri Stemmer", "venue": "NeurIPS 2023", "year": 2023, "url": "https://arxiv.org/abs/2302.14099" } ] }, { "id": "2023-black-box-differential-privacy-for-interactive-ml", "title": "Black-Box Differential Privacy for Interactive ML", "authors": "Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, and Uri Stemmer", "year": 2023, "topics": [ "privacy" ], "versions": [ { "type": "conference", "title": "Black-Box Differential Privacy for Interactive ML", "authors": "Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, and Uri Stemmer", "venue": "NeurIPS 2023", "year": 2023, "url": "https://papers.nips.cc/paper_files/paper/2023/hash/f418594e90047a10f4c158f70d6701cc-Abstract-Conference.html" } ] }, { "id": "2023-the-bayesian-stability-zoo", "title": "The Bayesian Stability Zoo", "authors": "Shay Moran, Jonathan Shafer, and Hilla Schefler", "year": 2023, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "The Bayesian Stability Zoo", "authors": "Shay Moran, Jonathan Shafer, and Hilla Schefler", "venue": "NeurIPS 2023", "year": 2023, "url": "https://arxiv.org/abs/2310.18428" } ] }, { "id": "2023-improper-multiclass-boosting", "title": "Improper Multiclass Boosting", "authors": "Nataly Brukhim, Steve Hanneke, and Shay Moran", "year": 2023, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Improper Multiclass Boosting", "authors": "Nataly Brukhim, Steve Hanneke, and Shay Moran", "venue": "COLT 2023", "year": 2023 } ] }, { "id": "2023-multiclass-online-learning-and-uniform-convergence", "title": "Multiclass Online Learning and Uniform Convergence", "authors": "Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, and Amber Tewari", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Multiclass Online Learning and Uniform Convergence", "authors": "Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, and Amber Tewari", "venue": "COLT 2023", "year": 2023, "url": "https://arxiv.org/abs/2303.17716" } ] }, { "id": "2023-universal-rates-for-multiclass-learning", "title": "Universal Rates for Multiclass Learning", "authors": "Steve Hanneke, Shay Moran, and Qian Zhang", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Universal Rates for Multiclass Learning", "authors": "Steve Hanneke, Shay Moran, and Qian Zhang", "venue": "COLT 2023", "year": 2023 } ] }, { "id": "2023-list-online-learning", "title": "List Online Learning", "authors": "Shay Moran, Ohad Sharon, Iska Tsubari, and Sivan Yosebashvili", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "List Online Learning", "authors": "Shay Moran, Ohad Sharon, Iska Tsubari, and Sivan Yosebashvili", "venue": "COLT 2023", "year": 2023, "url": "https://arxiv.org/abs/2303.15383" } ] }, { "id": "2023-fine-grained-distribution-dependent-learning-curves", "title": "Fine-Grained Distribution-Dependent Learning Curves", "authors": "Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, and Ilya Tolstikhin", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Fine-Grained Distribution-Dependent Learning Curves", "authors": "Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, and Ilya Tolstikhin", "venue": "COLT 2023", "year": 2023, "url": "https://arxiv.org/abs/2208.14615" } ] }, { "id": "2023-statistical-indistinguishability-of-learning-algorithms", "title": "Statistical Indistinguishability of Learning Algorithms", "authors": "Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Statistical Indistinguishability of Learning Algorithms", "authors": "Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas", "venue": "ICML 2023", "year": 2023, "url": "https://arxiv.org/abs/2305.14311" } ] }, { "id": "2023-boosting-simple-learners", "title": "Boosting Simple Learners", "authors": "Noga Alon, Alon Gonen, Elad Hazan, and Shay Moran", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "journal", "title": "Boosting Simple Learners", "authors": "Noga Alon, Alon Gonen, Elad Hazan, and Shay Moran", "venue": "TheoretiCS 2023 (conference version at STOC 2021)", "year": 2023, "url": "https://arxiv.org/abs/2001.11704" }, { "type": "conference", "title": "Boosting Simple Learners", "authors": "Noga Alon, Alon Gonen, Elad Hazan, and Shay Moran", "venue": "STOC 2021", "year": 2021, "url": "https://arxiv.org/abs/2001.11704" } ] }, { "id": "2023-adversarial-laws-of-large-numbers-and-optimal-regret", "title": "Adversarial Laws of Large Numbers and Optimal Regret in Online Classification", "authors": "Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, and Eylon Yogev", "year": 2023, "topics": [ "learning-theory" ], "versions": [ { "type": "journal", "title": "Adversarial Laws of Large Numbers and Optimal Regret in Online Classification", "authors": "Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, and Eylon Yogev", "venue": "SICOMP 2023 (conference version at STOC 2021)", "year": 2023, "url": "https://arxiv.org/abs/2101.09054" }, { "type": "conference", "title": "Adversarial Laws of Large Numbers and Optimal Regret in Online Classification", "authors": "Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, and Eylon Yogev", "venue": "STOC 2021", "year": 2021, "url": "https://arxiv.org/abs/2101.09054", "note": "Invited and accepted to STOC special issue of SICOMP" } ] }, { "id": "2022-differentially-private-bayes-consistency", "title": "Differentially-Private Bayes Consistency", "authors": "Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, and Uri Stemmer", "year": 2022, "topics": [ "privacy" ], "versions": [ { "type": "manuscript", "title": "Differentially-Private Bayes Consistency", "authors": "Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, and Uri Stemmer", "venue": "Manuscript, 2022", "year": 2022, "url": "https://arxiv.org/abs/2212.04216" } ] }, { "id": "2022-how-expressive-are-friendly-school-partitions", "title": "How Expressive Are Friendly School Partitions", "authors": "Josef Minarik, Shay Moran, and Michael Skotnica", "year": 2022, "topics": [ "other" ], "versions": [ { "type": "manuscript", "title": "How Expressive Are Friendly School Partitions", "authors": "Josef Minarik, Shay Moran, and Michael Skotnica", "venue": "Manuscript, 2022", "year": 2022, "url": "https://arxiv.org/abs/2203.10772" } ] }, { "id": "2022-universal-rates-for-interactive-learning", "title": "Universal Rates for Interactive Learning", "authors": "Steve Hanneke, Amin Karbasi, Shay Moran, and Grigoris Velegkas", "year": 2022, "topics": [ "learning-theory" ], "badges": [ "Oral Presentation" ], "versions": [ { "type": "conference", "title": "Universal Rates for Interactive Learning", "authors": "Steve Hanneke, Amin Karbasi, Shay Moran, and Grigoris Velegkas", "venue": "NeurIPS 2022", "year": 2022, "badges": [ "Oral Presentation" ] } ] }, { "id": "2022-on-optimal-learning-under-targeted-data-poisoning", "title": "On Optimal Learning Under Targeted Data Poisoning", "authors": "Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, and Shay Moran", "year": 2022, "topics": [ "learning-theory" ], "badges": [ "Oral Presentation" ], "versions": [ { "type": "conference", "title": "On Optimal Learning Under Targeted Data Poisoning", "authors": "Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, and Shay Moran", "venue": "NeurIPS 2022", "year": 2022, "url": "https://arxiv.org/abs/2210.02713", "badges": [ "Oral Presentation" ] } ] }, { "id": "2022-integral-probability-metrics-pac-bayes-bounds", "title": "Integral Probability Metrics PAC-Bayes Bounds", "authors": "Ron Amit, Baruch Epstein, Ron Meir, and Shay Moran", "year": 2022, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Integral Probability Metrics PAC-Bayes Bounds", "authors": "Ron Amit, Baruch Epstein, Ron Meir, and Shay Moran", "venue": "NeurIPS 2022", "year": 2022, "url": "https://arxiv.org/abs/2207.00614" } ] }, { "id": "2022-a-characterization-of-multiclass-learnability", "title": "A Characterization of Multiclass Learnability", "authors": "Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, and Amir Yehudayoff", "year": 2022, "topics": [ "learning-theory" ], "homepage": { "section": "highlight", "order": 2 }, "versions": [ { "type": "conference", "title": "A Characterization of Multiclass Learnability", "authors": "Nataly Brukhim, Daniel Carmon, Irit Dinur, Shay Moran, and Amir Yehudayoff", "venue": "FOCS 2022", "year": 2022, "url": "https://arxiv.org/abs/2203.01550", "note": "Invited to FOCS special issue of SICOMP · Invited talk at TCS+ 2022" } ] }, { "id": "2022-monotone-learning", "title": "Monotone Learning", "authors": "Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, and Uri Stemmer", "year": 2022, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Monotone Learning", "authors": "Olivier Bousquet, Amit Daniely, Haim Kaplan, Yishay Mansour, Shay Moran, and Uri Stemmer", "venue": "COLT 2022", "year": 2022, "url": "https://arxiv.org/abs/2202.05246" } ] }, { "id": "2022-a-resilient-distributed-boosting-algorithm", "title": "A Resilient Distributed Boosting Algorithm", "authors": "Yuval Filmus, Idan Mehalel, Shay Moran", "year": 2022, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "A Resilient Distributed Boosting Algorithm", "authors": "Yuval Filmus, Idan Mehalel, Shay Moran", "venue": "ICML 2022", "year": 2022, "url": "https://arxiv.org/abs/2206.04713" } ] }, { "id": "2022-understanding-generalization-via-leave-one-out-conditional-mutual", "title": "Understanding Generalization via Leave-One-Out Conditional Mutual Information", "authors": "Mahdi Haghifam, Shay Moran, Daniel M. Roy, and Gintare Karolina Dziugaite", "year": 2022, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Understanding Generalization via Leave-One-Out Conditional Mutual Information", "authors": "Mahdi Haghifam, Shay Moran, Daniel M. Roy, and Gintare Karolina Dziugaite", "venue": "ISIT 2022", "year": 2022, "url": "https://arxiv.org/abs/2206.14800" } ] }, { "id": "2022-active-learning-with-label-comparisons", "title": "Active Learning with Label Comparisons", "authors": "Gal Elidan, Amir Globerson, Shay Moran, and Gal Yona", "year": 2022, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Active Learning with Label Comparisons", "authors": "Gal Elidan, Amir Globerson, Shay Moran, and Gal Yona", "venue": "UAI 2022", "year": 2022, "url": "https://arxiv.org/abs/2204.04670" } ] }, { "id": "2022-uniform-brackets-containers-and-combinatorial-macbeath-regions", "title": "Uniform Brackets, Containers, and Combinatorial Macbeath Regions", "authors": "Kunal Dutta, Arijit Ghosh, and Shay Moran", "year": 2022, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "conference", "title": "Uniform Brackets, Containers, and Combinatorial Macbeath Regions", "authors": "Kunal Dutta, Arijit Ghosh, and Shay Moran", "venue": "ITCS 2022", "year": 2022 } ] }, { "id": "2022-private-and-online-learnability-are-equivalent", "title": "Private and Online Learnability are Equivalent", "authors": "Noga Alon, Mark Bun, Roi Livni, Maryanthe Malliaris, and Shay Moran", "year": 2022, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "journal", "title": "Private and Online Learnability are Equivalent", "authors": "Noga Alon, Mark Bun, Roi Livni, Maryanthe Malliaris, and Shay Moran", "venue": "Journal of the ACM, 2022", "year": 2022, "url": "https://dl.acm.org/doi/full/10.1145/3526074", "note": "Merged journal version of: An Equivalence Between Private Classification and Online Prediction Mark Bun, Roi Livni, and Shay Moran (FOCS 2020) Private PAC Learning Implies Finite Littlestone Dimension Noga Alon, Roi Livni, Maryanthe Malliaris, and Shay Moran (STOC 2019)" } ] }, { "id": "2021-towards-a-unified-information-theoretic-framework-for-generalization", "title": "Towards a Unified Information-Theoretic Framework for Generalization", "authors": "Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, and Daniel M. Roy", "year": 2021, "topics": [ "learning-theory" ], "badges": [ "Spotlight Presentation" ], "versions": [ { "type": "conference", "title": "Towards a Unified Information-Theoretic Framework for Generalization", "authors": "Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, and Daniel M. Roy", "venue": "NeurIPS 2021", "year": 2021, "url": "https://arxiv.org/abs/2111.05275", "badges": [ "Spotlight Presentation" ] } ] }, { "id": "2021-multiclass-boosting-and-the-cost-of-weak-learning", "title": "Multiclass Boosting and the Cost of Weak Learning", "authors": "Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, and Robert E. Schapire", "year": 2021, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Multiclass Boosting and the Cost of Weak Learning", "authors": "Nataly Brukhim, Elad Hazan, Shay Moran, Indraneel Mukherjee, and Robert E. 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Roy", "venue": "Manuscript, 2020", "year": 2020, "url": "https://arxiv.org/abs/2011.02970" } ] }, { "id": "2020-learning-from-mixtures-of-private-and-public-populations", "title": "Learning from Mixtures of Private and Public Populations", "authors": "Raef Bassily, Shay Moran, and Anupama Nandi", "year": 2020, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "Learning from Mixtures of Private and Public Populations", "authors": "Raef Bassily, Shay Moran, and Anupama Nandi", "venue": "NeurIPS 2020", "year": 2020, "url": "https://arxiv.org/abs/2008.00331" } ] }, { "id": "2020-a-limitation-of-the-pac-bayes-framework", "title": "A Limitation of the PAC-Bayes Framework", "authors": "Roi Livni and Shay Moran", "year": 2020, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "A Limitation of the PAC-Bayes Framework", "authors": "Roi Livni and Shay Moran", "venue": "NeurIPS 2020", "year": 2020, "url": "https://arxiv.org/abs/2006.13508" } ] }, { "id": "2020-online-agnostic-boosting-via-regret-minimization", "title": "Online Agnostic Boosting via Regret Minimization", "authors": "Nataly Brukhim, Xinyi Chen, Elad Hazan, and Shay Moran", "year": 2020, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Online Agnostic Boosting via Regret Minimization", "authors": "Nataly Brukhim, Xinyi Chen, Elad Hazan, and Shay Moran", "venue": "NeurIPS 2020", "year": 2020, "url": "https://arxiv.org/abs/2003.01150" } ] }, { "id": "2020-synthetic-data-generators-sequential-and-private", "title": "Synthetic Data Generators - Sequential and Private", "authors": "Olivier Bousquet, Roi Livni, and Shay Moran", "year": 2020, "topics": [ "privacy" ], "versions": [ { "type": "conference", "title": "Synthetic Data Generators - Sequential and Private", "authors": "Olivier Bousquet, Roi Livni, and Shay Moran", "venue": "NeurIPS 2020", "year": 2020, "url": "https://arxiv.org/abs/1902.03468" } ] }, { "id": "2020-an-equivalence-between-private-classification-and-online-prediction", "title": "An Equivalence Between Private Classification and Online Prediction", "authors": "Mark Bun, Roi Livni, and Shay Moran", "year": 2020, "topics": [ "learning-theory", "privacy" ], "badges": [ "Best Paper Award" ], "homepage": { "section": "highlight", "order": 5 }, "versions": [ { "type": "conference", "title": "An Equivalence Between Private Classification and Online Prediction", "authors": "Mark Bun, Roi Livni, and Shay Moran", "venue": "FOCS 2020", "year": 2020, "url": "https://arxiv.org/abs/2003.00563", "note": "Invited to JACM · Invited talk at TCS+ 2020 · Plenary talk at TPDP 2020 · Invited to HALG 2021", "badges": [ "Best Paper Award" ] } ] }, { "id": "2020-private-query-release-assisted-by-public-data", "title": "Private Query Release Assisted by Public Data", "authors": "Raef Bassily, Albert Cheu, Shay Moran, Alexander Nikolov, Jonathan Ullman, and Zhiwey Steven Wu", "year": 2020, "topics": [ "privacy" ], "versions": [ { "type": "conference", "title": "Private Query Release Assisted by Public Data", "authors": "Raef Bassily, Albert Cheu, Shay Moran, Alexander Nikolov, Jonathan Ullman, and Zhiwey Steven Wu", "venue": "ICML 2020", "year": 2020, "url": "https://arxiv.org/abs/2004.10941", "note": "Plenary talk at TPDP 2020" } ] }, { "id": "2020-proper-learning-helly-number-and-an-optimal-svm", "title": "Proper Learning, Helly Number, and an Optimal SVM Bound", "authors": "Olivier Bousquet, Steve Hanneke, Shay Moran, and Nikita Zhivotovskiy", "year": 2020, "topics": [ "learning-theory", "combinatorics-geometry" ], "badges": [ "Best Paper Award" ], "homepage": { "section": "highlight", "order": 6 }, "versions": [ { "type": "conference", "title": "Proper Learning, Helly Number, and an Optimal SVM Bound", "authors": "Olivier Bousquet, Steve Hanneke, Shay Moran, and Nikita Zhivotovskiy", "venue": "COLT 2020", "year": 2020, "url": "https://arxiv.org/abs/2005.11818", "note": "Invited to Journal of Mathematical Statistics and Learning · Invited to HALG 2021", "badges": [ "Best Paper Award" ] } ] }, { "id": "2020-closure-properties-for-private-classification-and-online-prediction", "title": "Closure Properties for Private Classification and Online Prediction", "authors": "Noga Alon, Amos Beimel, Shay Moran, and Uri Stemmer", "year": 2020, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "Closure Properties for Private Classification and Online Prediction", "authors": "Noga Alon, Amos Beimel, Shay Moran, and Uri Stemmer", "venue": "COLT 2020, TPDP 2020", "year": 2020, "url": "https://arxiv.org/abs/2003.04509" } ] }, { "id": "2020-on-the-perceptron-s-compression", "title": "On the Perceptron's Compression", "authors": "Shay Moran, Ido Nachum, Itai Panasoff, and Amir Yehudayoff", "year": 2020, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "On the Perceptron's Compression", "authors": "Shay Moran, Ido Nachum, Itai Panasoff, and Amir Yehudayoff", "venue": "CiE 2020", "year": 2020, "url": "https://arxiv.org/abs/1806.05403" } ] }, { "id": "2020-on-weak-epsilon-nets-and-the-radon-number", "title": "On weak epsilon-nets and the Radon number", "authors": "Shay Moran and Amir Yehudayoff", "year": 2020, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "journal", "title": "On weak epsilon-nets and the Radon number", "authors": "Shay Moran and Amir Yehudayoff", "venue": "Discrete & Computational Geometry (DCG) 2020", "year": 2020, "url": "https://arxiv.org/abs/1707.05381" }, { "type": "conference", "title": "On weak epsilon-nets and the Radon number", "authors": "Shay Moran and Amir Yehudayoff", "venue": "SoCG 2019", "year": 2019, "url": "https://arxiv.org/abs/1707.05381", "note": "Invited and accepted to a special issue of Discrete & Computational Geometry (DCG)" } ] }, { "id": "2020-a-sauer-shelah-perles-lemma-for-lattices", "title": "A Sauer-Shelah-Perles Lemma for Lattices", "authors": "Stijn Cambie, Bogdan Chornomaz, Zeev Dvir, Yuval Filmus, and Shay Moran", "year": 2020, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "journal", "title": "A Sauer-Shelah-Perles Lemma for Lattices", "authors": "Stijn Cambie, Bogdan Chornomaz, Zeev Dvir, Yuval Filmus, and Shay Moran", "venue": "The Electronic Journal of Combinatorics, 2020", "year": 2020, "url": "https://www.combinatorics.org/ojs/index.php/eljc/article/view/v27i4p19" } ] }, { "id": "2019-an-adaptive-nearest-neighbor-rule-for-classification", "title": "An adaptive nearest neighbor rule for classification", "authors": "Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, and Shay Moran", "year": 2019, "topics": [ "learning-theory" ], "badges": [ "Spotlight Presentation" ], "versions": [ { "type": "conference", "title": "An adaptive nearest neighbor rule for classification", "authors": "Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, and Shay Moran", "venue": "NeurIPS 2019", "year": 2019, "url": "https://arxiv.org/abs/1905.12717", "badges": [ "Spotlight Presentation" ] } ] }, { "id": "2019-private-learning-implies-online-learning-an-efficient-reduction", "title": "Private Learning implies Online Learning: An Efficient Reduction", "authors": "Alon Gonen, Elad Hazan, and Shay Moran", "year": 2019, "topics": [ "learning-theory", "privacy" ], "badges": [ "Spotlight Presentation" ], "versions": [ { "type": "conference", "title": "Private Learning implies Online Learning: An Efficient Reduction", "authors": "Alon Gonen, Elad Hazan, and Shay Moran", "venue": "NeurIPS 2019", "year": 2019, "url": "https://arxiv.org/abs/1905.11311", "badges": [ "Spotlight Presentation" ] } ] }, { "id": "2019-limits-of-private-learning-with-access-to-public", "title": "Limits of Private Learning with Access to Public Data", "authors": "Noga Alon, Raef Bassily, and Shay Moran", "year": 2019, 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[ { "type": "conference", "title": "Private Centerpoints and Learning of Halfspaces", "authors": "Amos Beimel, Shay Moran, Kobbi Nissim, and Uri Stemmer", "venue": "COLT 2019", "year": 2019, "url": "https://arxiv.org/abs/1902.10731" } ] }, { "id": "2019-the-optimal-approximation-factor-in-density-estimation", "title": "The Optimal Approximation Factor in Density Estimation", "authors": "Olivier Bousquet, Daniel Kane, and Shay Moran", "year": 2019, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "The Optimal Approximation Factor in Density Estimation", "authors": "Olivier Bousquet, Daniel Kane, and Shay Moran", "venue": "COLT 2019", "year": 2019, "url": "https://arxiv.org/abs/1902.05876" } ] }, { "id": "2019-on-communication-complexity-of-classification-problems", "title": "On Communication Complexity of Classification Problems", "authors": "Daniel Kane, Roi Livni, Shay Moran, and Amir Yehudayoff", "year": 2019, "topics": [ "learning-theory", "complexity" ], 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Warmuth", "year": 2019, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Unlabeled sample compression schemes and corner peelings for ample and maximum classes", "authors": "Jeremie Chalopin, Victor Chepoi, Shay Moran, and Manfred K. Warmuth", "venue": "ICALP 2019", "year": 2019, "url": "https://arxiv.org/abs/1812.02099" } ] }, { "id": "2019-private-pac-learning-implies-finite-littlestone-dimension", "title": "Private PAC learning implies finite Littlestone dimension", "authors": "Noga Alon, Roi Livni, Maryanthe Malliaris, and Shay Moran", "year": 2019, "topics": [ "learning-theory", "privacy" ], "versions": [ { "type": "conference", "title": "Private PAC learning implies finite Littlestone dimension", "authors": "Noga Alon, Roi Livni, Maryanthe Malliaris, and Shay Moran", "venue": "STOC 2019", "year": 2019, "url": "https://arxiv.org/abs/1806.00949", "note": "Plenary presentation at the \"Theory and Practice of Differential Privacy 2018\" workshop" } ] }, { "id": "2019-near-optimal-linear-decision-trees-for-k-sum", "title": "Near-optimal linear decision trees for k-SUM and related problems", "authors": "Daniel Kane, Shachar Lovett, and Shay Moran", "year": 2019, "topics": [ "combinatorics-geometry", "complexity" ], "versions": [ { "type": "journal", "title": "Near-optimal linear decision trees for k-SUM and related problems", "authors": "Daniel Kane, Shachar Lovett, and Shay Moran", "venue": "Journal of the ACM, 2019", "year": 2019, "url": "https://eccc.weizmann.ac.il/report/2017/082" }, { "type": "conference", "title": "Near-optimal linear decision trees for k-SUM and related problems", "authors": "Daniel Kane, Shachar Lovett, and Shay Moran", "venue": "STOC 2018", "year": 2018, "url": "https://eccc.weizmann.ac.il/report/2017/082", "note": "Invited to STOC special issue of SICOMP (declined in favor of J. ACM) · Invited talks at TCS+ 2018 and HALG 2019" } ] }, { "id": "2019-twenty-short-questions", "title": "Twenty (short) questions", "authors": "Yuval Dagan, Ariel Gabizon, Yuval Filmus, and Shay Moran", "year": 2019, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "journal", "title": "Twenty (short) questions", "authors": "Yuval Dagan, Ariel Gabizon, Yuval Filmus, and Shay Moran", "venue": "Combinatorica, 2019", "year": 2019, "url": "https://arxiv.org/abs/1611.01655" }, { "type": "conference", "title": "Twenty (simple) questions", "authors": "Yuval Dagan, Ariel Gabizon, Yuval Filmus, and Shay Moran", "venue": "STOC 2017", "year": 2017, "url": "https://arxiv.org/abs/1611.01655", "note": "Invited to HALG 2018" } ] }, { "id": "2019-approximate-nonnegative-rank-is-equivalent-to-the-smooth", "title": "Approximate Nonnegative Rank is Equivalent to the Smooth Rectangle Bound", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "year": 2019, "topics": [ "complexity" ], "versions": [ { "type": "journal", "title": "Approximate Nonnegative Rank is Equivalent to the Smooth Rectangle Bound", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "venue": "Computational Complexity", "year": 2019, "url": "https://eccc.weizmann.ac.il/report/2014/046" }, { "type": "conference", "title": "Approximate Nonnegative Rank is Equivalent to the Smooth Rectangle Bound", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "venue": "ICALP 2014", "year": 2014, "url": "https://eccc.weizmann.ac.il/report/2014/046" } ] }, { "id": "2019-learnability-can-be-undecidable", "title": "Learnability can be undecidable", "authors": "Shai Ben-David, Pavel Hrubes, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "year": 2019, "topics": [ "learning-theory" ], "homepage": { "section": "highlight", "order": 7 }, "versions": [ { "type": "journal", "title": "Learnability can be undecidable", "authors": "Shai Ben-David, Pavel Hrubes, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "venue": "Nature Machine Intelligence, 2019", "year": 2019, "url": "https://www.nature.com/articles/s42256-018-0002-3", "note": "STOC 2021 (invited paper)" } ] }, { "id": "2018-generalized-comparison-trees-for-point-location-problems", "title": "Generalized comparison trees for point-location problems", "authors": "Daniel Kane, Shachar Lovett, and Shay Moran", "year": 2018, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Generalized comparison trees for point-location problems", "authors": "Daniel Kane, Shachar Lovett, and Shay Moran", "venue": "ICALP 2018", "year": 2018, "url": "https://eccc.weizmann.ac.il/report/2018/074" } ] }, { "id": "2018-are-two-samples-really-better-than-one-on", "title": "Are Two (Samples) Really Better Than One? On The Non-Asymptotic Performance of Empirical Revenue Maximization", "authors": "Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, and Shay Moran", "year": 2018, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Are Two (Samples) Really Better Than One? On The Non-Asymptotic Performance of Empirical Revenue Maximization", "authors": "Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, and Shay Moran", "venue": "EC 2018", "year": 2018, "url": "https://arxiv.org/abs/1802.08037" } ] }, { "id": "2018-learners-that-leak-little-information", "title": "Learners that Leak Little Information", "authors": "Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, and Amir Yehudayoff", "year": 2018, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Learners that Leak Little Information", "authors": "Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, and Amir Yehudayoff", "venue": "ALT 2018", "year": 2018, "url": "https://arxiv.org/abs/1710.05233" } ] }, { "id": "2018-a-sauer-shelah-perles-lemma-for-sumsets", "title": "A Sauer-Shelah-Perles Lemma for Sumsets", "authors": "Zeev Dvir and Shay Moran", "year": 2018, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "journal", "title": "A Sauer-Shelah-Perles Lemma for Sumsets", "authors": "Zeev Dvir and Shay Moran", "venue": "The Electronic Journal of Combinatorics, 2018", "year": 2018, "url": "https://www.combinatorics.org/ojs/index.php/eljc/article/view/v25i4p38/pdf" } ] }, { "id": "2017-submultiplicative-glivenko-cantelli-and-uniform-convergence-of-revenues", "title": "Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues", "authors": "Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, and Amir Yehudayoff", "year": 2017, "topics": [ "other" ], "badges": [ "Spotlight Presentation" ], "versions": [ { "type": "conference", "title": "Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues", "authors": "Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, and Amir Yehudayoff", "venue": "NIPS 2017", "year": 2017, "url": "https://arxiv.org/abs/1705.08430", "badges": [ "Spotlight Presentation" ] } ] }, { "id": "2017-active-classification-with-comparison-queries", "title": "Active classification with comparison queries", "authors": "Daniel Kane, Shachar Lovett, Shay Moran, and Jiapeng Zhang", "year": 2017, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Active classification with comparison queries", "authors": "Daniel Kane, Shachar Lovett, Shay Moran, and Jiapeng Zhang", "venue": "FOCS 2017", "year": 2017, "url": "https://arxiv.org/abs/1704.03564" } ] }, { "id": "2017-sign-rank-vc-dimension-and-spectral-gaps", "title": "Sign rank, VC dimension and spectral gaps", "authors": "Noga Alon, Shay Moran, and Amir Yehudayoff", "year": 2017, "topics": [ "learning-theory", "combinatorics-geometry" ], "homepage": { "section": "highlight", "order": 8 }, "versions": [ { "type": "journal", "title": "Sign rank, VC dimension and spectral gaps", "authors": "Noga Alon, Shay Moran, and Amir Yehudayoff", "venue": "In a special issue for the 150th anniversary of Sbornik: Mathematics, 2017", "year": 2017, "url": "https://eccc.weizmann.ac.il/report/2014/135" }, { "type": "conference", "title": "Sign rank, VC dimension and spectral gaps", "authors": "Noga Alon, Shay Moran, and Amir Yehudayoff", "venue": "COLT 2016", "year": 2016, "url": "https://eccc.weizmann.ac.il/report/2014/135" } ] }, { "id": "2017-teaching-and-compressing-for-low-vc-dimension", "title": "Teaching and compressing for low VC dimension", "authors": "Shay Moran, Amir Shpilka, Avi Wigderson, and Amir Yehudayoff", "year": 2017, "topics": [ "learning-theory" ], "versions": [ { "type": "journal", "title": "Teaching and compressing for low VC dimension", "authors": "Shay Moran, Amir Shpilka, Avi Wigderson, and Amir Yehudayoff", "venue": "In \"A Journey Through Discrete Mathematics: A Tribute to Jiri Matousek\", 2017", "year": 2017, "url": "https://eccc.weizmann.ac.il/report/2015/025" }, { "type": "conference", "title": "Teaching and compressing for low VC dimension", "authors": "Shay Moran, Amir Shpilka, Avi Wigderson, and Amir Yehudayoff", "venue": "FOCS 2015", "year": 2015, "note": "Invited to FOCS special issue of SICOMP (declined in favor of J. ACM) The conference version combines two separate papers: Teaching and compressing for low VC dimension Shay Moran, Amir Shpilka, Avi Wigderson, and Amir Yehudayoff Sample compression schemes for VC classes Shay Moran and Amir Yehudayoff" } ] }, { "id": "2016-on-statistical-learning-via-the-lens-of-compression", "title": "On statistical learning via the lens of compression", "authors": "Ofir David, Shay Moran, and Amir Yehudayoff", "year": 2016, "topics": [ "learning-theory" ], "badges": [ "Oral Presentation" ], "versions": [ { "type": "conference", "title": "On statistical learning via the lens of compression", "authors": "Ofir David, Shay Moran, and Amir Yehudayoff", "venue": "NIPS 2016", "year": 2016, "url": "https://arxiv.org/abs/1610.03592", "badges": [ "Oral Presentation" ] } ] }, { "id": "2016-labeled-compression-schemes-for-extremal-classes", "title": "Labeled compression schemes for extremal classes", "authors": "Shay Moran and Manfred K. Warmuth", "year": 2016, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Labeled compression schemes for extremal classes", "authors": "Shay Moran and Manfred K. Warmuth", "venue": "ALT 2016", "year": 2016, "url": "https://arxiv.org/abs/1506.00165" } ] }, { "id": "2016-fooling-pairs-in-randomized-communication-complexity", "title": "Fooling Pairs in Randomized Communication Complexity", "authors": "Shay Moran, Makrand Sinha, and Amir Yehudayoff", "year": 2016, "topics": [ "complexity" ], "versions": [ { "type": "conference", "title": "Fooling Pairs in Randomized Communication Complexity", "authors": "Shay Moran, Makrand Sinha, and Amir Yehudayoff", "venue": "SIROCCO 2016", "year": 2016, "url": "https://eccc.weizmann.ac.il/report/2014/022" } ] }, { "id": "2016-hitting-set-for-hypergraphs-of-low-vc-dimension", "title": "Hitting set for hypergraphs of low VC-dimension", "authors": "Karl Bringmann, László Kozma, Shay Moran, and N.S. Narayanaswami", "year": 2016, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "conference", "title": "Hitting set for hypergraphs of low VC-dimension", "authors": "Karl Bringmann, László Kozma, Shay Moran, and N.S. Narayanaswami", "venue": "ESA 2016", "year": 2016, "url": "https://arxiv.org/abs/1512.00481" } ] }, { "id": "2016-shattered-sets-and-the-hilbert-function", "title": "Shattered Sets and the Hilbert Function", "authors": "Shay Moran and Cyrus Rashtchian", "year": 2016, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Shattered Sets and the Hilbert Function", "authors": "Shay Moran and Cyrus Rashtchian", "venue": "MFCS 2016", "year": 2016, "url": "https://eccc.weizmann.ac.il/report/2015/189" } ] }, { "id": "2016-direct-sum-fails-for-zero-error-average-communication", "title": "Direct sum fails for zero error average communication", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "year": 2016, "topics": [ "complexity" ], "versions": [ { "type": "journal", "title": "Direct sum fails for zero error average communication", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "venue": "Algorithmica, 2016", "year": 2016, "url": "https://eccc.weizmann.ac.il/report/2013/079" }, { "type": "conference", "title": "Direct sum fails for zero error average communication", "authors": "Gillat Kol, Shay Moran, Amir Shpilka, and Amir Yehudayoff", "venue": "ITCS 2014", "year": 2014, "url": "https://eccc.weizmann.ac.il/report/2013/079", "note": "Invited to a special issue of Algorithmica" } ] }, { "id": "2016-sample-compression-schemes-for-vc-classes", "title": "Sample compression schemes for VC classes", "authors": "Shay Moran and Amir Yehudayoff", "year": 2016, "topics": [ "learning-theory" ], "badges": [ "Final Award for Outstanding Paper in the Field of Machine Learning" ], "homepage": { "section": "highlight", "order": 9 }, "versions": [ { "type": "journal", "title": "Sample compression schemes for VC classes", "authors": "Shay Moran and Amir Yehudayoff", "venue": "Journal of the ACM, 2016", "year": 2016, "url": "https://eccc.weizmann.ac.il/report/2015/040", "badges": [ "Final Award for Outstanding Paper in the Field of Machine Learning" ] } ] }, { "id": "2016-simple-and-optimal-fault-tolerant-rumor-spreading", "title": "Simple and Optimal Fault-Tolerant Rumor Spreading", "authors": "Benjamin Doerr, Carola Doerr, Shay Moran, and Shlomo Moran", "year": 2016, "topics": [ "other" ], "versions": [ { "type": "journal", "title": "Simple and Optimal Fault-Tolerant Rumor Spreading", "authors": "Benjamin Doerr, Carola Doerr, Shay Moran, and Shlomo Moran", "venue": "Distributed Computing, Springer, 2016", "year": 2016, "url": "https://arxiv.org/abs/1209.6158" } ] }, { "id": "2016-generalization-and-simplification-in-machine-learning", "title": "Generalization and simplification in machine learning", "authors": "Shay Moran", "year": 2016, "topics": [ "learning-theory" ], "versions": [ { "type": "thesis", "title": "Generalization and simplification in machine learning", "authors": "Shay Moran", "venue": "PhD thesis, Technion, 2016", "year": 2016, "url": "https://dblp.org/rec/phd/il/Moran16" } ] }, { "id": "2015-matchings-vs-hitting-sets-among-half-spaces-in", "title": "Matchings vs hitting sets among half-spaces in low dimensional euclidean spaces", "authors": "Shay Moran and Rom Pinchasi", "year": 2015, "topics": [ "learning-theory", "combinatorics-geometry" ], "versions": [ { "type": "manuscript", "title": "Matchings vs hitting sets among half-spaces in low dimensional euclidean spaces", "authors": "Shay Moran and Rom Pinchasi", "venue": "Manuscript, 2015", "year": 2015, "url": "https://arxiv.org/abs/1507.02504" } ] }, { "id": "2015-node-balancing-by-edge-increments", "title": "Node-balancing by edge-increments", "authors": "Friedrich Eisenbrand, Shay Moran, Rom Pinchasi, and Martin Skutella", "year": 2015, "topics": [ "other" ], "versions": [ { "type": "conference", "title": "Node-balancing by edge-increments", "authors": "Friedrich Eisenbrand, Shay Moran, Rom Pinchasi, and Martin Skutella", "venue": "ESA 2015", "year": 2015, "url": "https://arxiv.org/abs/1504.06919" } ] }, { "id": "2015-internal-compression-of-protocols-to-entropy", "title": "Internal compression of protocols to entropy", "authors": "Balthazar Bauer, Shay Moran, and Amir Yehudayoff", "year": 2015, "topics": [ "learning-theory" ], "versions": [ { "type": "conference", "title": "Internal compression of protocols to entropy", "authors": "Balthazar Bauer, Shay Moran, and Amir Yehudayoff", "venue": "RANDOM 2015", "year": 2015, "url": "https://eccc.weizmann.ac.il/report/2014/101" } ] }, { "id": "2015-a-note-on-average-case-sorting", "title": "A note on average-case sorting", "authors": "Shay Moran and Amir Yehudayoff", "year": 2015, "topics": [ "complexity" ], "versions": [ { "type": "journal", "title": "A note on average-case sorting", "authors": "Shay Moran and Amir Yehudayoff", "venue": "Order, Springer, 2015", "year": 2015, "url": "https://eccc.weizmann.ac.il/report/2013/106" } ] }, { "id": "2013-shattering-graph-orientations-and-connectivity", "title": "Shattering, Graph Orientations, and Connectivity", "authors": "László Kozma and Shay Moran", "year": 2013, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "journal", "title": "Shattering, Graph Orientations, and Connectivity", "authors": "László Kozma and Shay Moran", "venue": "The Electronic Journal of Combinatorics, 2013", "year": 2013, "url": "https://www.combinatorics.org/ojs/index.php/eljc/article/view/v20i3p44" } ] }, { "id": "2012-shattering-extremal-systems", "title": "Shattering-Extremal Systems", "authors": "Shay Moran", "year": 2012, "topics": [ "combinatorics-geometry" ], "versions": [ { "type": "thesis", "title": "Shattering-Extremal Systems", "authors": "Shay Moran", "venue": "Masters' thesis", "year": 2012, "url": "https://arxiv.org/abs/1211.2980" } ] } ] }