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Alekh Agarwal
Alekh Agarwal
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Dual averaging for distributed optimization: Convergence analysis and network scaling
JC Duchi, A Agarwal, MJ Wainwright
IEEE Transactions on Automatic control 57 (3), 592-606, 2011
13152011
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International conference on machine learning, 60-69, 2018
10012018
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in neural information processing systems 24, 2011
7152011
On the theory of policy gradient methods: Optimality, approximation, and distribution shift
A Agarwal, SM Kakade, JD Lee, G Mahajan
The Journal of Machine Learning Research 22 (1), 4431-4506, 2021
582*2021
Deep batch active learning by diverse, uncertain gradient lower bounds
JT Ash, C Zhang, A Krishnamurthy, J Langford, A Agarwal
arXiv preprint arXiv:1906.03671, 2019
5522019
Taming the monster: A fast and simple algorithm for contextual bandits
A Agarwal, D Hsu, S Kale, J Langford, L Li, R Schapire
International Conference on Machine Learning, 1638-1646, 2014
5202014
Information-theoretic lower bounds on the oracle complexity of convex optimization
A Agarwal, MJ Wainwright, P Bartlett, P Ravikumar
Advances in Neural Information Processing Systems 22, 2009
4752009
A reliable effective terascale linear learning system
A Agarwal, O Chapelle, M Dudík, J Langford
The Journal of Machine Learning Research 15 (1), 1111-1133, 2014
4332014
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
A Agarwal, S Negahban, MJ Wainwright
Advances in Neural Information Processing Systems 23, 2010
4162010
Contextual decision processes with low bellman rank are pac-learnable
N Jiang, A Krishnamurthy, A Agarwal, J Langford, RE Schapire
International Conference on Machine Learning, 1704-1713, 2017
3992017
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
A Agarwal, O Dekel, L Xiao
Colt, 28-40, 2010
3822010
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
A Agarwal, S Negahban, MJ Wainwright
3002012
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
2372015
Fair regression: Quantitative definitions and reduction-based algorithms
A Agarwal, M Dudík, ZS Wu
International Conference on Machine Learning, 120-129, 2019
2222019
Provably efficient rl with rich observations via latent state decoding
S Du, A Krishnamurthy, N Jiang, A Agarwal, M Dudik, J Langford
International Conference on Machine Learning, 1665-1674, 2019
2222019
Learning to search better than your teacher
KW Chang, A Krishnamurthy, A Agarwal, H Daumé III, J Langford
International Conference on Machine Learning, 2058-2066, 2015
2172015
Stochastic convex optimization with bandit feedback
A Agarwal, DP Foster, DJ Hsu, SM Kakade, A Rakhlin
Advances in Neural Information Processing Systems 24, 2011
2072011
Model-based rl in contextual decision processes: Pac bounds and exponential improvements over model-free approaches
W Sun, N Jiang, A Krishnamurthy, A Agarwal, J Langford
Conference on learning theory, 2898-2933, 2019
1992019
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudik, J Langford, ...
Advances in Neural Information Processing Systems 30, 2017
1992017
Flambe: Structural complexity and representation learning of low rank mdps
A Agarwal, S Kakade, A Krishnamurthy, W Sun
Advances in neural information processing systems 33, 20095-20107, 2020
1982020
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Artikelen 1–20