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Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination


Jul 05, 2021
Dylan J. Foster, Akshay Krishnamurthy


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Bayesian decision-making under misspecified priors with applications to meta-learning


Jul 03, 2021
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire


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Investigating the Role of Negatives in Contrastive Representation Learning


Jun 18, 2021
Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra


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Gone Fishing: Neural Active Learning with Fisher Embeddings


Jun 17, 2021
Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade


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Model-free Representation Learning and Exploration in Low-rank MDPs


Feb 14, 2021
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal


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Learning the Linear Quadratic Regulator from Nonlinear Observations


Oct 08, 2020
Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford

* To appear at NeurIPS 2020 

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Private Reinforcement Learning with PAC and Regret Guarantees


Sep 18, 2020
Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu


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Contrastive learning, multi-view redundancy, and linear models


Aug 24, 2020
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu


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Sample-Efficient Reinforcement Learning of Undercomplete POMDPs


Jun 22, 2020
Chi Jin, Sham M. Kakade, Akshay Krishnamurthy, Qinghua Liu


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Information Theoretic Regret Bounds for Online Nonlinear Control


Jun 22, 2020
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun


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Open Problem: Model Selection for Contextual Bandits


Jun 19, 2020
Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo

* COLT 2020 open problem 

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Provably adaptive reinforcement learning in metric spaces


Jun 18, 2020
Tongyi Cao, Akshay Krishnamurthy


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FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs


Jun 18, 2020
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy, Wen Sun


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Efficient Contextual Bandits with Continuous Actions


Jun 10, 2020
Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins


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Contrastive estimation reveals topic posterior information to linear models


Mar 04, 2020
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu


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Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents


Feb 27, 2020
Akshay Krishnamurthy, Thodoris Lykouris, Chara Podimata


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Adaptive Estimator Selection for Off-Policy Evaluation


Feb 18, 2020
Yi Su, Pavithra Srinath, Akshay Krishnamurthy


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Reward-Free Exploration for Reinforcement Learning


Feb 07, 2020
Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu


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Algebraic and Analytic Approaches for Parameter Learning in Mixture Models


Jan 19, 2020
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal

* 22 pages, Accepted at Algorithmic Learning Theory (ALT) 2020 

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Scalable Hierarchical Clustering with Tree Grafting


Dec 31, 2019
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum

* 23 pages (appendix included), published at KDD 2019 

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Optimism in Reinforcement Learning with Generalized Linear Function Approximation


Dec 09, 2019
Yining Wang, Ruosong Wang, Simon S. Du, Akshay Krishnamurthy


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Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning


Nov 13, 2019
Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford


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Sample Complexity of Learning Mixtures of Sparse Linear Regressions


Oct 30, 2019
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal

* NeurIPS 2019 

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Robust Dynamic Assortment Optimization in the Presence of Outlier Customers


Oct 09, 2019
Xi Chen, Akshay Krishnamurthy, Yining Wang

* 27 pages, 1 figure 

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Doubly robust off-policy evaluation with shrinkage


Jul 22, 2019
Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík


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Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds


Jun 09, 2019
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal


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Model selection for contextual bandits


Jun 03, 2019
Dylan J. Foster, Akshay Krishnamurthy, Haipeng Luo


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Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting


Feb 05, 2019
Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang


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Provably efficient RL with Rich Observations via Latent State Decoding


Jan 25, 2019
Simon S. Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miroslav Dudík, John Langford


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Model-Based Reinforcement Learning in Contextual Decision Processes


Nov 21, 2018
Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford

* 30 

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