Parameswaran Kamalaruban

According to our database, Parameswaran Kamalaruban authored at least 30 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints.

Parameswaran Kamalaruban, Mark Anderson, Stuart Burrell, Maeve Madigan, Piotr Skalski, David Sutton

CoRR, March, 2025

Policy Teaching via Data Poisoning in Learning from Human Preferences.

Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Corruption Robust Offline Reinforcement Learning with Human Feedback.

Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Learning Personalized Decision Support Policies.

Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go.

Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic

CoRR, 2024

Adversarially Robust Decision Transformer.

Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Proximal Curriculum with Task Correlations for Deep Reinforcement Learning.

Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences.

Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges.

Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell, Eleanor Drage, Piotr Skalski, Jason Wong, David Sutton

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Informativeness of Reward Functions in Reinforcement Learning.

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Proximal Curriculum for Reinforcement Learning Agents.

Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla

Trans. Mach. Learn. Res., 2023

2022

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards.

Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Learning from Observation with Model Misspecification.

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Curriculum Design for Teaching via Demonstrations: Theory and Applications.

Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.

Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicable Reward Design for Reinforcement Learning Agents.

Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Optimization for Reinforcement Learning: From a single agent to cooperative agents.

Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher

IEEE Signal Process. Mag., 2020

Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries.

Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar

Proc. Priv. Enhancing Technol., 2020

Interaction-limited Inverse Reinforcement Learning.

Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher

CoRR, 2020

Environment Shaping in Reinforcement Learning using State Abstraction.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

CoRR, 2020

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics.

Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Interactive Teaching Algorithms for Inverse Reinforcement Learning.

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Iterative Classroom Teaching.

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

d_X-Private Mechanisms for Linear Queries.

Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar

CoRR, 2018

Transitions, Losses, and Re-parameterizations: Elements of Prediction Games.

Parameswaran Kamalaruban

CoRR, 2018

Minimax Lower Bounds for Cost Sensitive Classification.

Parameswaran Kamalaruban, Robert C. Williamson

CoRR, 2018

2017

Consistent Robust Regression.

Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Improved Optimistic Mirror Descent for Sparsity and Curvature.

Parameswaran Kamalaruban

CoRR, 2016

Efficient and Consistent Robust Time Series Analysis.

Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar

CoRR, 2016

2015

Exp-Concavity of Proper Composite Losses.

Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang

Proceedings of The 28th Conference on Learning Theory, 2015