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Shay Moran
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Publications
- 2024
- [c81]Noga Alon, Shay Moran, Hilla Schefler, Amir Yehudayoff:
A Unified Characterization of Private Learnability via Graph Theory. COLT 2024: 94-129 - 2023
- [j17]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting Simple Learners. TheoretiCS 2 (2023) - [i91]Noga Alon, Olivier Bousquet, Kasper Green Larsen, Shay Moran, Shlomo Moran:
Diagonalization Games. CoRR abs/2301.01924 (2023) - [i86]Noga Alon, Shay Moran, Hilla Schefler, Amir Yehudayoff:
A Unified Characterization of Private Learnability via Graph Theory. CoRR abs/2304.03996 (2023) - [i77]Noga Alon, Olivier Bousquet, Kasper Green Larsen, Shay Moran, Shlomo Moran:
Diagonalization Games. Electron. Colloquium Comput. Complex. TR23 (2023) - 2022
- [j16]Noga Alon, Mark Bun, Roi Livni, Maryanthe Malliaris, Shay Moran:
Private and Online Learnability Are Equivalent. J. ACM 69(4): 28:1-28:34 (2022) - 2021
- [c47]Noga Alon, Steve Hanneke, Ron Holzman, Shay Moran:
A Theory of PAC Learnability of Partial Concept Classes. FOCS 2021: 658-671 - [c41]Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev:
Adversarial laws of large numbers and optimal regret in online classification. STOC 2021: 447-455 - [c40]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting simple learners. STOC 2021: 481-489 - [i64]Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev:
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification. CoRR abs/2101.09054 (2021) - [i62]Noga Alon, Steve Hanneke, Ron Holzman, Shay Moran:
A Theory of PAC Learnability of Partial Concept Classes. CoRR abs/2107.08444 (2021) - 2020
- [c37]Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer:
Closure Properties for Private Classification and Online Prediction. COLT 2020: 119-152 - [i57]Noga Alon, Alon Gonen, Elad Hazan, Shay Moran:
Boosting Simple Learners. CoRR abs/2001.11704 (2020) - [i54]Noga Alon, Amos Beimel, Shay Moran, Uri Stemmer:
Closure Properties for Private Classification and Online Prediction. CoRR abs/2003.04509 (2020) - 2019
- [c21]Raef Bassily, Shay Moran, Noga Alon:
Limits of Private Learning with Access to Public Data. NeurIPS 2019: 10342-10352 - [c20]Noga Alon, Roi Livni, Maryanthe Malliaris, Shay Moran:
Private PAC learning implies finite Littlestone dimension. STOC 2019: 852-860 - [i40]Noga Alon, Raef Bassily, Shay Moran:
Limits of Private Learning with Access to Public Data. CoRR abs/1910.11519 (2019) - 2018
- [i37]Noga Alon, Roi Livni, Maryanthe Malliaris, Shay Moran:
Private PAC learning implies finite Littlestone dimension. CoRR abs/1806.00949 (2018) - 2017
- [c14]Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, Amir Yehudayoff:
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues. NIPS 2017: 1656-1665 - [i29]Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, Amir Yehudayoff:
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues. CoRR abs/1705.08430 (2017) - 2016
- [c11]Noga Alon, Shay Moran, Amir Yehudayoff:
Sign rank versus VC dimension. COLT 2016: 47-80 - 2014
- [i9]Noga Alon, Shay Moran, Amir Yehudayoff:
Sign rank, VC dimension and spectral gaps. Electron. Colloquium Comput. Complex. TR14 (2014)
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