More from the Same Authors

• 2021 Spotlight: Bayesian decision-making under misspecified priors with applications to meta-learning »
  Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
• 2021 : Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation »
  Dylan Foster · Akshay Krishnamurthy · David Simchi-Levi · Yunzong Xu
• 2022 : Hybrid RL: Using both offline and online data can make RL efficient »
  Yuda Song · Yifei Zhou · Ayush Sekhari · J. Bagnell · Akshay Krishnamurthy · Wen Sun
• 2023 Poster: Exposing Attention Glitches with Flip-Flop Language Modeling »
  Bingbin Liu · Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Cyril Zhang
• 2023 Poster: Non-stationary Experimental Design under Linear Trends »
  David Simchi-Levi · Chonghuan Wang · Zeyu Zheng
• 2023 Poster: Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk »
  David Simchi-Levi · Zeyu Zheng · Feng Zhu
• 2022 Poster: A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk »
  David Simchi-Levi · Zeyu Zheng · Feng Zhu
• 2022 Poster: On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL »
  Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
• 2022 Poster: Learning Mixed Multinomial Logits with Provable Guarantees »
  Yiqun Hu · David Simchi-Levi · Zhenzhen Yan
• 2022 Poster: Context-Based Dynamic Pricing with Partially Linear Demand Model »
  Jinzhi Bu · David Simchi-Levi · Chonghuan Wang
• 2021 Poster: Gone Fishing: Neural Active Learning with Fisher Embeddings »
  Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Sham Kakade
• 2021 Oral: Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination »
  Dylan Foster · Akshay Krishnamurthy
• 2021 Poster: Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination »
  Dylan Foster · Akshay Krishnamurthy
• 2021 Poster: Bayesian decision-making under misspecified priors with applications to meta-learning »
  Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
• 2020 Poster: Provably adaptive reinforcement learning in metric spaces »
  Tongyi Cao · Akshay Krishnamurthy
• 2020 Poster: Efficient Contextual Bandits with Continuous Actions »
  Maryam Majzoubi · Chicheng Zhang · Rajan Chari · Akshay Krishnamurthy · John Langford · Aleksandrs Slivkins
• 2020 Poster: FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs »
  Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
• 2020 Poster: Learning the Linear Quadratic Regulator from Nonlinear Observations »
  Zakaria Mhammedi · Dylan Foster · Max Simchowitz · Dipendra Misra · Wen Sun · Akshay Krishnamurthy · Alexander Rakhlin · John Langford
• 2020 Poster: Sample-Efficient Reinforcement Learning of Undercomplete POMDPs »
  Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
• 2020 Spotlight: Sample-Efficient Reinforcement Learning of Undercomplete POMDPs »
  Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
• 2020 Oral: FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs »
  Alekh Agarwal · Sham Kakade · Akshay Krishnamurthy · Wen Sun
• 2020 Poster: Information Theoretic Regret Bounds for Online Nonlinear Control »
  Sham Kakade · Akshay Krishnamurthy · Kendall Lowrey · Motoya Ohnishi · Wen Sun
• 2019 : Coffee break, posters, and 1-on-1 discussions »
  Yangyi Lu · Daniel Chen · Hongseok Namkoong · Marie Charpignon · Maja Rudolph · Amanda Coston · Julius von Kügelgen · Niranjani Prasad · Paramveer Dhillon · Yunzong Xu · Yixin Wang · Alexander Markham · David Rohde · Rahul Singh · Zichen Zhang · Negar Hassanpour · Ankit Sharma · Ciarán Lee · Jean Pouget-Abadie · Jesse Krijthe · Divyat Mahajan · Nan Rosemary Ke · Peter Wirnsberger · Vira Semenova · Dmytro Mykhaylov · Dennis Shen · Kenta Takatsu · Liyang Sun · Jeremy Yang · Alexander Franks · Pak Kan Wong · Tauhid Zaman · Shira Mitchell · min kyoung kang · Qi Yang
• 2019 Poster: Sample Complexity of Learning Mixture of Sparse Linear Regressions »
  Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal
• 2019 Poster: Model Selection for Contextual Bandits »
  Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
• 2019 Spotlight: Model Selection for Contextual Bandits »
  Dylan Foster · Akshay Krishnamurthy · Haipeng Luo
• 2019 Poster: Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints »
  David Simchi-Levi · Yunzong Xu
• 2018 Poster: Contextual bandits with surrogate losses: Margin bounds and efficient algorithms »
  Dylan Foster · Akshay Krishnamurthy
• 2018 Poster: On Oracle-Efficient PAC RL with Rich Observations »
  Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2018 Spotlight: On Oracle-Efficient PAC RL with Rich Observations »
  Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2018 Poster: The Lingering of Gradients: How to Reuse Gradients Over Time »
  Zeyuan Allen-Zhu · David Simchi-Levi · Xinshang Wang
• 2017 Poster: Off-policy evaluation for slate recommendation »
  Adith Swaminathan · Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik · John Langford · Damien Jose · Imed Zitouni
• 2017 Oral: Off-policy evaluation for slate recommendation »
  Adith Swaminathan · Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik · John Langford · Damien Jose · Imed Zitouni