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Alekh Agarwal

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
2019 · Ash, Jordan T., Zhang, Chicheng, et al. · arXiv (Cornell University) · 365
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A Reductions Approach to Fair Classification
2018 · Agarwal, Alekh, Beygelzimer, Alina, et al. · arXiv (Cornell University) · 364
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Distributed delayed stochastic optimization
2012 · Alekh Agarwal, John C. Duchi · IEEE Conference on Decision and Control (CDC) · 317
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
2014 · Agarwal, Alekh, Hsu, Daniel, et al. · arXiv (Cornell University) · 286
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A Reliable Effective Terascale Linear Learning System
2011 · Agarwal, Alekh, Chapelle, Olivier, et al. · arXiv (Cornell University) · 278
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Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
2010 · Alekh Agarwal, Ofer Dekel, et al. · 255
Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization
2012 · Alekh Agarwal, Peter L. Bartlett, et al. · IEEE Transactions on Information Theory · 225
Fast global convergence of gradient methods for high-dimensional statistical recovery
2012 · Alekh Agarwal, Sahand Negahban, et al. · The Annals of Statistics · 201
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Stochastic Convex Optimization with Bandit Feedback
2013 · Alekh Agarwal, Dean P. Foster, et al. · SIAM Journal on Optimization · 167
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On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
2019 · Agarwal, Alekh, Kakade, Sham M., et al. · arXiv (Cornell University) · 153
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Learning to Search Better Than Your Teacher
2015 · Chang, Kai-Wei, Krishnamurthy, Akshay, et al. · arXiv (Cornell University) · 146
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Contextual Decision Processes with Low Bellman Rank are PAC-Learnable
2016 · Jiang, Nan, Krishnamurthy, Akshay, et al. · arXiv (Cornell University) · 144
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Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization
2016 · Alekh Agarwal, Animashree Anandkumar, et al. · SIAM Journal on Optimization · 137
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Fair Regression: Quantitative Definitions and Reduction-based Algorithms
2019 · Agarwal, Alekh, Dudík, Miroslav, et al. · arXiv (Cornell University) · 112
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Fast Convergence of Regularized Learning in Games
2015 · Syrgkanis, Vasilis, Agarwal, Alekh, et al. · arXiv (Cornell University) · 107
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Learning to rank networked entities
2006 · Alekh Agarwal, Soumen Chakrabarti, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 101
Efficient Contextual Bandits in Non-stationary Worlds
2017 · Luo, Haipeng, Wei, Chen-Yu, et al. · arXiv (Cornell University) · 100
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Distributed Delayed Stochastic Optimization
2011 · Agarwal, Alekh, Duchi, John C. · arXiv (Cornell University) · 98
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Hierarchical Imitation and Reinforcement Learning
2018 · Le, Hoang M., Jiang, Nan, et al. · arXiv (Cornell University) · 94
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An Analysis of Inference with the Universum
2007 · Olivier Chapelle, Alekh Agarwal, et al. · neural information processing systems · 94
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
2016 · Wang, Yu-Xiang, Agarwal, Alekh, et al. · arXiv (Cornell University) · 92
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Fast global convergence rates of gradient methods for high-dimensional statistical recovery
2010 · Alekh Agarwal, Sahand Negahban, et al. · neural information processing systems · 92
Ergodic Mirror Descent
2012 · John C. Duchi, Alekh Agarwal, et al. · SIAM Journal on Optimization · 89
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
2010 · Pradeep Ravikumar, Alekh Agarwal, et al. · 81
A Stochastic View of Optimal Regret through Minimax Duality
2009 · Abernethy, Jacob, Agarwal, Alekh, et al. · arXiv (Cornell University) · 78
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Works count: 160
Citation count: 6,336
H-index: 44
I10-index: 80
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