Alekh Agarwal
Alekh Agarwal
Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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
9152011
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in Neural Information Processing Systems, 873-881, 2011
4662011
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
3562014
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
A Agarwal, S Negahban, MJ Wainwright
Advances in Neural Information Processing Systems, 37-45, 2010
3052010
Information-theoretic lower bounds on the oracle complexity of convex optimization
A Agarwal, MJ Wainwright, PL Bartlett, PK Ravikumar
Advances in Neural Information Processing Systems, 1-9, 2009
2932009
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
2702014
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
arXiv preprint arXiv:1803.02453, 2018
2482018
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
A Agarwal, S Negahban, MJ Wainwright
The Annals of Statistics 40 (2), 1171-1197, 2012
2332012
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
A Agarwal, O Dekel, L Xiao
COLT, 28-40, 2010
2112010
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
1472016
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
1422015
Learning to rank networked entities
A Agarwal, S Chakrabarti, S Aggarwal
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
1332006
A lower bound for the optimization of finite sums
A Agarwal, L Bottou
International conference on machine learning, 78-86, 2015
1112015
Stochastic convex optimization with bandit feedback
A Agarwal, DP Foster, DJ Hsu, SM Kakade, A Rakhlin
Advances in Neural Information Processing Systems, 1035-1043, 2011
1092011
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
1092010
Learning sparsely used overcomplete dictionaries
A Agarwal, A Anandkumar, P Jain, P Netrapalli, R Tandon
Conference on Learning Theory, 123-137, 2014
1002014
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
902017
A stochastic view of optimal regret through minimax duality
J Abernethy, A Agarwal, PL Bartlett, A Rakhlin
arXiv preprint arXiv:0903.5328, 2009
872009
An analysis of inference with the universum
O Chapelle, A Agarwal, FH Sinz, B Schölkopf
Advances in neural information processing systems, 1369-1376, 2008
832008
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems, 2989-2997, 2015
762015
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