Yishay Mansour
Cited by
Cited by
Policy Gradient Methods for Reinforcement Learning with Function Approximation.
RS Sutton, DA McAllester, S Singh, Y Mansour
NIPS, 1999
Constant depth circuits, Fourier transform, and learnability
N Linial, Y Mansour, N Nisan
Journal of the ACM (JACM) 40 (3), 607-620, 1993
Perseus: Randomized point-based value iteration for POMDPs
MTJ Spaan, N Vlassis
Journal of artificial intelligence research 24, 195-220, 2005
A sparse sampling algorithm for near-optimal planning in large Markov decision processes
M Kearns, Y Mansour, AY Ng
Machine learning 49 (2-3), 193-208, 2002
A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur
arXiv preprint arXiv:1610.07629, 2016
The option-critic architecture
PL Bacon, J Harb, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Learning decision trees using the Fourier spectrum
E Kushilevitz, Y Mansour
SIAM Journal on Computing 22 (6), 1331-1348, 1993
The shrinking generator
D Coppersmith, H Krawczyk, Y Mansour
Annual International Cryptology Conference, 22-39, 1993
Domain adaptation: Learning bounds and algorithms
Y Mansour, M Mohri, A Rostamizadeh
arXiv preprint arXiv:0902.3430, 2009
Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems
E Even-Dar, S Mannor, Y Mansour
Journal of machine learning research 7 (Jun), 1079-1105, 2006
Learning rates for Q-learning
E Even-Dar, Y Mansour
Journal of machine learning Research 5 (Dec), 1-25, 2003
A construction of a cipher from a single pseudorandom permutation
S Even, Y Mansour
Journal of cryptology 10 (3), 151-161, 1997
Domain adaptation with multiple sources
Y Mansour, M Mohri, A Rostamizadeh
Advances in neural information processing systems 21, 1041-1048, 2008
PAC bounds for multi-armed bandit and Markov decision processes
E Even-Dar, S Mannor, Y Mansour
International Conference on Computational Learning Theory, 255-270, 2002
Fpnn: Field probing neural networks for 3d data
Y Li, S Pirk, H Su, CR Qi, LJ Guibas
Advances in Neural Information Processing Systems 29, 307-315, 2016
Nash Convergence of Gradient Dynamics in General-Sum Games.
SP Singh, MJ Kearns, Y Mansour
UAI, 541-548, 2000
An Ω(D\log(N/D)) lower bound for broadcast in radio networks
E Kushilevitz, Y Mansour
SIAM journal on Computing 27 (3), 702-712, 1998
On the boosting ability of top–down decision tree learning algorithms
M Kearns, Y Mansour
Journal of Computer and System Sciences 58 (1), 109-128, 1999
On the learnability of discrete distributions
M Kearns, Y Mansour, D Ron, R Rubinfeld, RE Schapire, L Sellie
Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
A Blum, M Furst, J Jackson, M Kearns, Y Mansour, S Rudich
Proceedings of the twenty-sixth annual ACM symposium on Theory of computing …, 1994
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Articles 1–20