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Yuval Dagan
Yuval Dagan
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Adversarial laws of large numbers and optimal regret in online classification
N Alon, O Ben-Eliezer, Y Dagan, S Moran, M Naor, E Yogev
Proceedings of the 53rd annual ACM SIGACT symposium on theory of computing …, 2021
502021
Detecting correlations with little memory and communication
Y Dagan, O Shamir
Conference On Learning Theory, 1145-1198, 2018
442018
Optimality of maximum likelihood for log-concave density estimation and bounded convex regression
G Kur, Y Dagan, A Rakhlin
arXiv preprint arXiv:1903.05315, 2019
41*2019
Smoothed online learning is as easy as statistical learning
A Block, Y Dagan, N Golowich, A Rakhlin
Conference on Learning Theory, 1716-1786, 2022
372022
Learning from weakly dependent data under dobrushin’s condition
Y Dagan, C Daskalakis, N Dikkala, S Jayanti
Conference on Learning Theory, 914-928, 2019
322019
Learning Ising models from one or multiple samples
Y Dagan, C Daskalakis, N Dikkala, AV Kandiros
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
29*2021
Space lower bounds for linear prediction in the streaming model
Y Dagan, G Kur, O Shamir
Conference on Learning Theory, 929-954, 2019
252019
Consistent diffusion models: Mitigating sampling drift by learning to be consistent
G Daras, Y Dagan, A Dimakis, C Daskalakis
Advances in Neural Information Processing Systems 36, 2024
222024
A bounded-noise mechanism for differential privacy
Y Dagan, G Kur
Conference on Learning Theory, 625-661, 2022
222022
Score-guided intermediate layer optimization: Fast Langevin mixing for inverse problems
G Daras, Y Dagan, AG Dimakis, C Daskalakis
arXiv preprint arXiv:2206.09104, 2022
202022
Majorizing measures, sequential complexities, and online learning
A Block, Y Dagan, A Rakhlin
Conference on Learning Theory, 587-590, 2021
172021
Interaction is necessary for distributed learning with privacy or communication constraints
Y Dagan, V Feldman
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
172020
PAC learning with stable and private predictions
Y Dagan, V Feldman
Conference on Learning Theory, 1389-1410, 2020
152020
A better resource allocation algorithm with semi-bandit feedback
Y Dagan, C Koby
Algorithmic Learning Theory, 268-320, 2018
152018
Ambient diffusion: Learning clean distributions from corrupted data
G Daras, K Shah, Y Dagan, A Gollakota, A Dimakis, A Klivans
Advances in Neural Information Processing Systems 36, 2024
132024
Twenty (simple) questions
Y Dagan, Y Filmus, A Gabizon, S Moran
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 9-21, 2017
11*2017
Statistical estimation from dependent data
V Kandiros, Y Dagan, N Dikkala, S Goel, C Daskalakis
International Conference on Machine Learning, 5269-5278, 2021
82021
From external to swap regret 2.0: An efficient reduction and oblivious adversary for large action spaces
Y Dagan, C Daskalakis, M Fishelson, N Golowich
arXiv preprint arXiv:2310.19786, 2023
72023
Online learning and solving infinite games with an erm oracle
A Assos, I Attias, Y Dagan, C Daskalakis, MK Fishelson
The Thirty Sixth Annual Conference on Learning Theory, 274-324, 2023
62023
The entropy of lies: playing twenty questions with a liar
Y Dagan, Y Filmus, D Kane, S Moran
arXiv preprint arXiv:1811.02177, 2018
52018
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Articles 1–20