Yash Chandak - RankMe

55 papers A* 20A 3Journal 32

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	A/B testing under Interference with Partial Network Information. AISTATS Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
2024	J	`jnl`	A/B testing under Interference with Partial Network Information. CoRR Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau
2024	A*	`conf`	Adaptive Instrument Design for Indirect Experiments. ICLR Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill
2024	J	`jnl`	Averaging log-likelihoods in direct alignment. CoRR Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar, Florian Strub, Bill Wu, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Olivier Pietquin, Matthieu Geist
2024	A*	`conf`	Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. EMNLP Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024	J	`jnl`	Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. CoRR Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
2024	J	`jnl`	Data-Efficient Policy Evaluation Through Behavior Policy Search. J. Mach. Learn. Res. Josiah P. Hanna, Yash Chandak, Philip S. Thomas, Martha White, Peter Stone, Scott Niekum
2024	A	`conf`	Estimating the Causal Treatment Effect of Unproductive Persistence. LAK Amelia Leon, Allen Nie, Yash Chandak, Emma Brunskill
2024	A*	`conf`	OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators. NeurIPS Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
2024	J	`jnl`	OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators. CoRR Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
2024	J	`jnl`	Short-Long Policy Evaluation with Novel Actions. CoRR Hyunji Alex Nam, Yash Chandak, Emma Brunskill
2024	J	`jnl`	The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances. CoRR Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech
2023	J	`jnl`	Adaptive Instrument Design for Indirect Experiments. CoRR Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill
2023	A	`conf`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. AISTATS Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	J	`jnl`	Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
2023	A*	`conf`	Behavior Alignment via Reward Function Optimization. NeurIPS Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva
2023	J	`jnl`	Behavior Alignment via Reward Function Optimization. CoRR Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno Castro da Silva
2023	J	`jnl`	Coagent Networks: Generalized and Scaled. CoRR James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas
2023	J	`jnl`	Off-Policy Evaluation for Action-Dependent Non-Stationary Environments. CoRR Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno Castro da Silva, Emma Brunskill, Philip S. Thomas
2023	J	`jnl`	Optimization using Parallel Gradient Evaluations on Multiple Parameters. CoRR Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar
2023	A*	`conf`	Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition. ICML Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rémi Munos, Will Dabney, Diana L. Borsa
2023	J	`jnl`	Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition. CoRR Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rémi Munos, Will Dabney, Diana L. Borsa
2023	A*	`conf`	Supervised Pretraining Can Learn In-Context Reinforcement Learning. NeurIPS Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
2023	J	`jnl`	Supervised Pretraining Can Learn In-Context Reinforcement Learning. CoRR Jonathan N. Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
2023	A*	`conf`	Understanding Self-Predictive Learning for Reinforcement Learning. ICML Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko
2022	A*	`conf`	Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits. NeurIPS Tong Mu, Yash Chandak, Tatsunori B. Hashimoto, Emma Brunskill
2022	A*	`conf`	Off-Policy Evaluation for Action-Dependent Non-stationary Environments. NeurIPS Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva, Emma Brunskill, Philip S. Thomas
2022	A*	`conf`	On Optimizing Interventions in Shared Autonomy. AAAI Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak
2022	J	`jnl`	Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
2022	J	`jnl`	Understanding Self-Predictive Learning for Reinforcement Learning. CoRR Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko
2021	A*	`conf`	High Confidence Generalization for Reinforcement Learning. ICML James E. Kostas, Yash Chandak, Scott M. Jordan, Georgios Theocharous, Philip S. Thomas
2021	A*	`conf`	High-Confidence Off-Policy (or Counterfactual) Variance Estimation. AAAI Yash Chandak, Shiv Shankar, Philip S. Thomas
2021	J	`jnl`	High-Confidence Off-Policy (or Counterfactual) Variance Estimation. CoRR Yash Chandak, Shiv Shankar, Philip S. Thomas
2021	J	`jnl`	On Optimizing Interventions in Shared Autonomy. CoRR Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak
2021	A*	`conf`	SOPE: Spectrum of Off-Policy Estimators. NeurIPS Christina J. Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum
2021	J	`jnl`	SOPE: Spectrum of Off-Policy Estimators. CoRR Christina J. Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum
2021	A*	`conf`	Universal Off-Policy Evaluation. NeurIPS Yash Chandak, Scott Niekum, Bruno C. da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
2021	J	`jnl`	Universal Off-Policy Evaluation. CoRR Yash Chandak, Scott Niekum, Bruno Castro da Silva, Erik G. Learned-Miller, Emma Brunskill, Philip S. Thomas
2020	A*	`conf`	Evaluating the Performance of Reinforcement Learning Algorithms. ICML Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas
2020	J	`jnl`	Evaluating the Performance of Reinforcement Learning Algorithms. CoRR Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas
2020	A*	`conf`	Lifelong Learning with a Changing Action Set. AAAI Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas
2020	A*	`conf`	Optimizing for the Future in Non-Stationary MDPs. ICML Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Optimizing for the Future in Non-Stationary MDPs. CoRR Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	A*	`conf`	Reinforcement Learning When All Actions Are Not Always Available. AAAI Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
2020	J	`jnl`	Reinforcement Learning for Strategic Recommendations. CoRR Georgios Theocharous, Yash Chandak, Philip S. Thomas, Frits de Nijs
2020	A*	`conf`	Towards Safe Policy Improvement for Non-Stationary MDPs. NeurIPS Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
2020	J	`jnl`	Towards Safe Policy Improvement for Non-Stationary MDPs. CoRR Yash Chandak, Scott M. Jordan, Georgios Theocharous, Martha White, Philip S. Thomas
2019	J	`jnl`	Classical Policy Gradient: Preserving Bellman's Principle of Optimality. CoRR Philip S. Thomas, Scott M. Jordan, Yash Chandak, Chris Nota, James E. Kostas
2019	A*	`conf`	Learning Action Representations for Reinforcement Learning. ICML Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	J	`jnl`	Learning Action Representations for Reinforcement Learning. CoRR Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas
2019	J	`jnl`	Lifelong Learning with a Changing Action Set. CoRR Yash Chandak, Georgios Theocharous, Chris Nota, Philip S. Thomas
2019	J	`jnl`	Reinforcement Learning When All Actions are Not Always Available. CoRR Yash Chandak, Georgios Theocharous, Blossom Metevier, Philip S. Thomas
2018	J	`jnl`	Fusion Graph Convolutional Networks. CoRR Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	HOPF: Higher Order Propagation Framework for Deep Collective Classification. CoRR Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2015	J	`jnl`	On Optimizing Human-Machine Task Assignments. CoRR Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Pradyumna Tambwekar, Rashida Taskin, Ankit Tripathi, Anurag D. Yadav