Parameswaran Kamalaruban

51 papers A* 12A 4Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Corruption-robust Offline Multi-agent Reinforcement Learning From Human Feedback. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2026	J	`jnl`	DMAP: A Distribution Map for Text. CoRR Tom Kempton, Julia Rozanova, Parameswaran Kamalaruban, Maeve Madigan, Karolina Wresilo, Yoann L. Launay, David Sutton, Stuart Burrell
2025	A	`conf`	Corruption Robust Offline Reinforcement Learning with Human Feedback. AISTATS Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs. CoRR Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2025	J	`jnl`	Emergent Bias and Fairness in Multi-Agent Decision Systems. CoRR Maeve Madigan, Parameswaran Kamalaruban, Glenn Moynihan, Tom Kempton, David Sutton, Stuart Burrell
2025	J	`jnl`	Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints. CoRR Parameswaran Kamalaruban, Mark Anderson, Stuart Burrell, Maeve Madigan, Piotr Skalski, David Sutton
2025	J	`jnl`	Inference-Time Personalized Alignment with a Few User Preference Queries. CoRR Victor-Alexandru Padurean, Parameswaran Kamalaruban, Nachiket Kotalwar, Alkis Gotovos, Adish Singla
2025	A*	`conf`	Learning Personalized Decision Support Policies. AAAI Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2025	A	`conf`	Policy Teaching via Data Poisoning in Learning from Human Preferences. AISTATS Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2025	J	`jnl`	Policy Teaching via Data Poisoning in Learning from Human Preferences. CoRR Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2024	J	`jnl`	Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. CoRR Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic
2024	A*	`conf`	Adversarially Robust Decision Transformer. NeurIPS Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic
2024	J	`jnl`	Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic
2024	—	`conf`	Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges. ICAIF Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell, Eleanor Drage, Piotr Skalski, Jason Wong, David Sutton
2024	J	`jnl`	Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges. CoRR Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell, Eleanor Drage, Piotr Skalski, Jason Wong, David Sutton
2024	A	`conf`	Informativeness of Reward Functions in Reinforcement Learning. AAMAS Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2024	J	`jnl`	Informativeness of Reward Functions in Reinforcement Learning. CoRR Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2024	A*	`conf`	Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. IJCAI Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2024	J	`jnl`	Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. CoRR Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
2024	A*	`conf`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. ICML Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2024	J	`jnl`	Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla
2023	J	`jnl`	Learning Personalized Decision Support Policies. CoRR Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
2023	J	`jnl`	Proximal Curriculum for Reinforcement Learning Agents. CoRR Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
2023	J	`jnl`	Proximal Curriculum for Reinforcement Learning Agents. Trans. Mach. Learn. Res. Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla
2022	A*	`conf`	Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2022	A	`conf`	Robust Learning from Observation with Model Misspecification. AAMAS Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2022	J	`jnl`	Robust Learning from Observation with Model Misspecification. CoRR Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2021	A*	`conf`	Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2021	J	`jnl`	Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
2021	A*	`conf`	Explicable Reward Design for Reinforcement Learning Agents. NeurIPS Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla
2021	A*	`conf`	Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
2020	J	`jnl`	Environment Shaping in Reinforcement Learning using State Abstraction. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2020	J	`jnl`	Interaction-limited Inverse Reinforcement Learning. CoRR Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher
2020	J	`jnl`	Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries. Proc. Priv. Enhancing Technol. Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar
2020	J	`jnl`	Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
2020	J	`jnl`	Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
2020	A*	`conf`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2020	J	`jnl`	Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher
2019	A*	`conf`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	J	`jnl`	Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla
2019	A*	`conf`	Iterative Classroom Teaching. AAAI Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2019	J	`jnl`	Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
2018	J	`jnl`	Exp-Concavity of Proper Composite Losses. CoRR Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang
2018	J	`jnl`	Iterative Classroom Teaching. CoRR Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher
2018	J	`jnl`	Minimax Lower Bounds for Cost Sensitive Classification. CoRR Parameswaran Kamalaruban, Robert C. Williamson
2018	J	`jnl`	Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. CoRR Parameswaran Kamalaruban
2018	J	`jnl`	d CoRR Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar
2017	—	`conf`	Consistent Robust Regression. NIPS Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
2016	J	`jnl`	Efficient and Consistent Robust Time Series Analysis. CoRR Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar
2016	J	`jnl`	Improved Optimistic Mirror Descent for Sparsity and Curvature. CoRR Parameswaran Kamalaruban
2015	A*	`conf`	Exp-Concavity of Proper Composite Losses. COLT Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang