Dipendra Misra

55 papers A* 19A 3Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward. CoRR Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao
2025	J	`jnl`	A State-of-the-Art SQL Reasoning Model using RLVR. CoRR Alnur Ali, Ashutosh Baheti, Jonathan Chang, Ta-Chung Chi, Brandon Cui, Andrew Drozdov, Jonathan Frankle, Abhay Gupta, Pallavi Koppol, Sean Kulinski, Jonathan Li, Dipendra Misra, Krista Opsahl-Ong, Jose Javier Gonzalez Ortiz, Matei Zaharia, Yue Zhang
2024	A*	`conf`	Aligning LLM Agents by Learning Latent Preference from User Edits. NeurIPS Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
2024	J	`jnl`	Aligning LLM Agents by Learning Latent Preference from User Edits. CoRR Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
2024	J	`jnl`	Dataset Reset Policy Optimization for RLHF. CoRR Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Kianté Brantley, Dipendra Misra, Jason D. Lee, Wen Sun
2024	A*	`conf`	Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning. NeurIPS Dylan J. Foster, Adam Block, Dipendra Misra
2024	J	`jnl`	Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning. CoRR Dylan J. Foster, Adam Block, Dipendra Misra
2024	A*	`conf`	Policy Improvement using Language Feedback Models. NeurIPS Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024	J	`jnl`	Policy Improvement using Language Feedback Models. CoRR Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024	A*	`conf`	Provable Interactive Learning with Hindsight Instruction Feedback. ICML Dipendra Misra, Aldo Pacchiano, Robert E. Schapire
2024	J	`jnl`	Provable Interactive Learning with Hindsight Instruction Feedback. CoRR Dipendra Misra, Aldo Pacchiano, Robert E. Schapire
2024	A*	`conf`	The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction. ICLR Pratyusha Sharma, Jordan T. Ash, Dipendra Misra
2024	A*	`conf`	Towards Principled Representation Learning from Videos for Reinforcement Learning. ICLR Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford
2024	J	`jnl`	Towards Principled Representation Learning from Videos for Reinforcement Learning. CoRR Dipendra Misra, Akanksha Saran, Tengyang Xie, Alex Lamb, John Langford
2023	J	`jnl`	Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models. Trans. Mach. Learn. Res. Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
2023	J	`jnl`	LLF-Bench: Benchmark for Interactive Learning from Language Feedback. CoRR Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan
2023	J	`jnl`	Learning to Generate Better Than Your LLM. CoRR Jonathan D. Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun
2023	A*	`conf`	Principled Offline RL in the Presence of Rich Exogenous Information. ICML Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2023	A	`conf`	Provable Safe Reinforcement Learning with Binary Feedback. AISTATS Andrew Bennett, Dipendra Misra, Nathan Kallus
2023	A*	`conf`	Survival Instinct in Offline Reinforcement Learning. NeurIPS Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
2023	J	`jnl`	Survival Instinct in Offline Reinforcement Learning. CoRR Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng
2023	J	`jnl`	The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction. CoRR Pratyusha Sharma, Jordan T. Ash, Dipendra Misra
2022	J	`jnl`	Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2022	J	`jnl`	Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models. CoRR Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan J. Foster, Lekan P. Molu, Rajan Chari, Akshay Krishnamurthy, John Langford
2022	A	`conf`	Investigating the Role of Negatives in Contrastive Representation Learning. AISTATS Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra
2022	J	`jnl`	Provable Safe Reinforcement Learning with Binary Feedback. CoRR Andrew Bennett, Dipendra Misra, Nathan Kallus
2022	A*	`conf`	Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics. ICLR Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
2022	J	`jnl`	Provably Sample-Efficient RL with Side Information about Latent Dynamics. CoRR Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire
2022	A*	`conf`	Provably sample-efficient RL with side information about latent dynamics. NeurIPS Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire
2022	A*	`conf`	Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information. COLT Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford
2022	J	`jnl`	Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information. CoRR Yonathan Efroni, Dylan J. Foster, Dipendra Misra, Akshay Krishnamurthy, John Langford
2022	J	`jnl`	Towards Data-Driven Offline Simulations for Online Reinforcement Learning. CoRR Shengpu Tang, Felipe Vieira Frujeri, Dipendra Misra, Alex Lamb, John Langford, Paul Mineiro, Sebastian Kochman
2022	A*	`conf`	Understanding Contrastive Learning Requires Incorporating Inductive Biases. ICML Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy
2022	J	`jnl`	Understanding Contrastive Learning Requires Incorporating Inductive Biases. CoRR Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy
2021	J	`jnl`	Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. CoRR Andrew Bennett, Dipendra Misra, Nga Than
2021	A*	`conf`	Interactive Learning from Activity Description. ICML Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	J	`jnl`	Interactive Learning from Activity Description. CoRR Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	J	`jnl`	Investigating the Role of Negatives in Contrastive Representation Learning. CoRR Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Dipendra Misra
2021	J	`jnl`	Provable RL with Exogenous Distractors via Multistep Inverse Dynamics. CoRR Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy, Alekh Agarwal, John Langford
2021	A*	`conf`	Provable Rich Observation Reinforcement Learning with Combinatorial Latent States. ICLR Dipendra Misra, Qinghua Liu, Chi Jin, John Langford
2020	A*	`conf`	Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. ICML Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
2020	A*	`conf`	Learning the Linear Quadratic Regulator from Nonlinear Observations. NeurIPS Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
2020	J	`jnl`	Learning the Linear Quadratic Regulator from Nonlinear Observations. CoRR Zakaria Mhammedi, Dylan J. Foster, Max Simchowitz, Dipendra Misra, Wen Sun, Akshay Krishnamurthy, Alexander Rakhlin, John Langford
2019	J	`jnl`	Combating the Compounding-Error Problem with a Multi-step Model. CoRR Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael L. Littman
2019	A	`conf`	EARLY FUSION for Goal Directed Robotic Vision. IROS Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox
2019	J	`jnl`	Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning. CoRR Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford
2019	—	`—`	Scalable and Interpretable Approaches for Learning to Follow Natural Language Instructions. Dipendra Misra
2019	A*	`conf`	TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CVPR Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi
2018	J	`jnl`	Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning. CoRR Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman
2018	A*	`conf`	Lipschitz Continuity in Model-based Reinforcement Learning. ICML Kavosh Asadi, Dipendra Misra, Michael L. Littman
2018	J	`jnl`	Lipschitz Continuity in Model-based Reinforcement Learning. CoRR Kavosh Asadi, Dipendra Misra, Michael L. Littman
2018	A*	`conf`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2018	J	`jnl`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2018	—	`ed.`	Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018 Rep4NLP@ACL Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra
2018	J	`jnl`	Towards a Simple Approach to Multi-step Model-based Reinforcement Learning. CoRR Kavosh Asadi, Evan Cater, Dipendra Misra, Michael L. Littman