Alekh Agarwal
Alekh Agarwal
Microsoft Research
在 microsoft.com 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
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
10822011
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5451-5452, 2012
5682012
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
4212018
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
3992014
Fast global convergence of gradient methods for high-dimensional statistical recovery
A Agarwal, S Negahban, MJ Wainwright
The Annals of Statistics, 2452-2482, 2012
360*2012
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
3452014
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
A Agarwal, O Dekel, L Xiao
COLT, 28-40, 2010
2842010
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
A Agarwal, S Negahban, MJ Wainwright
The Annals of Statistics, 1171-1197, 2012
2612012
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
A Agarwal, PL Bartlett, P Ravikumar, MJ Wainwright
IEEE Transactions on Information Theory 58 (5), 3235-3249, 2012
2352012
Learning to search better than your teacher
KW Chang, A Krishnamurthy, A Agarwal, H Daume, J Langford
International Conference on Machine Learning, 2058-2066, 2015
1812015
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
1702017
Learning sparsely used overcomplete dictionaries via alternating minimization
A Agarwal, A Anandkumar, P Jain, P Netrapalli
SIAM Journal on Optimization 26 (4), 2775-2799, 2016
1612016
Optimality and approximation with policy gradient methods in markov decision processes
A Agarwal, SM Kakade, JD Lee, G Mahajan
Conference on Learning Theory, 64-66, 2020
1552020
Learning to rank networked entities
A Agarwal, S Chakrabarti, S Aggarwal
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
1342006
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, 1-9, 2009
1322009
A lower bound for the optimization of finite sums
A Agarwal, L Bottou
International conference on machine learning, 78-86, 2015
1282015
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes.
P Ravikumar, A Agarwal, MJ Wainwright
Journal of Machine Learning Research 11 (3), 2010
1232010
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
arXiv preprint arXiv:1507.00407, 2015
1202015
Learning sparsely used overcomplete dictionaries
A Agarwal, A Anandkumar, P Jain, P Netrapalli, R Tandon
Conference on Learning Theory, 123-137, 2014
1122014
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
1062019
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