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Alekh Agarwal
Alekh Agarwal
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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
12092011
A reductions approach to fair classification
A Agarwal, A Beygelzimer, M Dudík, J Langford, H Wallach
International Conference on Machine Learning, 60-69, 2018
7262018
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in neural information processing systems 24, 2011
6302011
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
4312014
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
4212014
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
4192009
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
3922010
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift.
A Agarwal, SM Kakade, JD Lee, G Mahajan
J. Mach. Learn. Res. 22 (98), 1-76, 2021
385*2021
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
A Agarwal, O Dekel, L Xiao
Colt, 28-40, 2010
3272010
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
3262019
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
2822012
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
2792017
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
1952015
Stochastic convex optimization with bandit feedback
A Agarwal, DP Foster, DJ Hsu, SM Kakade, A Rakhlin
Advances in Neural Information Processing Systems 24, 2011
1852011
Fast convergence of regularized learning in games
V Syrgkanis, A Agarwal, H Luo, RE Schapire
Advances in Neural Information Processing Systems 28, 2015
1742015
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
1732016
Hierarchical imitation and reinforcement learning
H Le, N Jiang, A Agarwal, M Dudik, Y Yue, H Daumé III
International conference on machine learning, 2917-2926, 2018
1512018
Off-policy evaluation for slate recommendation
A Swaminathan, A Krishnamurthy, A Agarwal, M Dudik, J Langford, ...
Advances in Neural Information Processing Systems 30, 2017
1512017
Fair regression: Quantitative definitions and reduction-based algorithms
A Agarwal, M Dudík, ZS Wu
International Conference on Machine Learning, 120-129, 2019
1482019
Optimal and adaptive off-policy evaluation in contextual bandits
YX Wang, A Agarwal, M Dudık
International Conference on Machine Learning, 3589-3597, 2017
1462017
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