Artículos con órdenes de acceso público - Roi LivniMás información
Disponibles en algún lugar: 15
Private PAC learning implies finite Littlestone dimension
N Alon, R Livni, M Malliaris, S Moran
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
Órdenes: US National Science Foundation, Federal Ministry of Education and Research …
An equivalence between private classification and online prediction
M Bun, R Livni, S Moran
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
Órdenes: US National Science Foundation
Classification with low rank and missing data
E Hazan, R Livni, Y Mansour
International conference on machine learning, 257-266, 2015
Órdenes: European Commission
Prediction with corrupted expert advice
I Amir, I Attias, T Koren, Y Mansour, R Livni
Advances in Neural Information Processing Systems 33, 14315-14325, 2020
Órdenes: European Commission
A limitation of the PAC-Bayes framework
R Livni, S Moran
Advances in Neural Information Processing Systems 33, 20543-20553, 2020
Órdenes: US National Science Foundation
Private and online learnability are equivalent
N Alon, M Bun, R Livni, M Malliaris, S Moran
ACM Journal of the ACM (JACM) 69 (4), 1-34, 2022
Órdenes: US National Science Foundation, Federal Ministry of Education and Research …
On communication complexity of classification problems
DM Kane, R Livni, S Moran, A Yehudayoff
Conference on Learning Theory 99, 1903--1943, 2019
Órdenes: US National Science Foundation
Multi-armed bandits with metric movement costs
T Koren, R Livni, Y Mansour
Advances in Neural Information Processing Systems 30, 2017
Órdenes: US National Science Foundation
Synthetic Data Generators--Sequential and Private
O Bousquet, R Livni, S Moran
Advances in Neural Information Processing Systems 33, 7114-7124, 2020
Órdenes: US National Science Foundation
Bandits with Movement Costs and Adaptive Pricing
T Koren, R Livni, Y Mansour
Proceedings of the 2017 Conference on Learning Theory 65, 1242-1268, 2017
Órdenes: US National Science Foundation
Online Learning with Low Rank Experts
E Hazan, T Koren, R Livni, Y Mansour
Conference On Learning Theory 49, 1096-1114, 2016
Órdenes: US National Science Foundation
Benign underfitting of stochastic gradient descent
T Koren, R Livni, Y Mansour, U Sherman
Advances in Neural Information Processing Systems 35, 19605-19617, 2022
Órdenes: European Commission
Information theoretic lower bounds for information theoretic upper bounds
R Livni
Advances in Neural Information Processing Systems 36, 2024
Órdenes: European Commission
Littlestone classes are privately online learnable
N Golowich, R Livni
Advances in Neural Information Processing Systems 34, 11462-11473, 2021
Órdenes: US National Science Foundation
Information complexity of stochastic convex optimization: Applications to generalization and memorization
I Attias, GK Dziugaite, M Haghifam, R Livni, DM Roy
arXiv preprint arXiv:2402.09327, 2024
Órdenes: European Commission
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