Exp-Concavity of Proper Composite Losses. - Parameswaran Kamalaruban; Robert C. Williamson; Xinhua Zhang (COLT, 2015)

Efficient and Consistent Robust Time Series Analysis. - Kush Bhatia; Prateek Jain 002; Parameswaran Kamalaruban; Purushottam Kar (CoRR, 2016)

Improved Optimistic Mirror Descent for Sparsity and Curvature. - Parameswaran Kamalaruban (CoRR, 2016)

Consistent Robust Regression. - Kush Bhatia; Prateek Jain 002; Parameswaran Kamalaruban; Purushottam Kar (NIPS, 2017)

Minimax Lower Bounds for Cost Sensitive Classification. - Parameswaran Kamalaruban; Robert C. Williamson (CoRR, 2018)

Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. - Parameswaran Kamalaruban (CoRR, 2018)

dX-Private Mechanisms for Linear Queries. - Parameswaran Kamalaruban; Victor Perrier; Hassan Jameel Asghar; Mohamed Ali Kâafar (CoRR, 2018)

Iterative Classroom Teaching. - Teresa Yeo; Parameswaran Kamalaruban; Adish Singla; Arpit Merchant; Thibault Asselborn; Louis Faucon; Pierre Dillenbourg; Volkan Cevher (AAAI, 2019)

Interactive Teaching Algorithms for Inverse Reinforcement Learning. - Parameswaran Kamalaruban; Rati Devidze; Volkan Cevher; Adish Singla (IJCAI, 2019)

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. - Parameswaran Kamalaruban; Yu-Ting Huang 003; Ya-Ping Hsieh; Paul Rolland; Cheng Shi; Volkan Cevher (NeurIPS, 2020)

Environment Shaping in Reinforcement Learning using State Abstraction. - Parameswaran Kamalaruban; Rati Devidze; Volkan Cevher; Adish Singla (CoRR, 2020)

Interaction-limited Inverse Reinforcement Learning. - Martin Troussard; Emmanuel Pignat; Parameswaran Kamalaruban; Sylvain Calinon; Volkan Cevher (CoRR, 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)

Optimization for Reinforcement Learning: From a single agent to cooperative agents. - Donghwan Lee 002; Niao He; Parameswaran Kamalaruban; Volkan Cevher (IEEE Signal Process. Mag., 2020)

Explicable Reward Design for Reinforcement Learning Agents. - Rati Devidze; Goran Radanovic; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2021)

Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. - Luca Viano; Yu-Ting Huang 003; Parameswaran Kamalaruban; Adrian Weller; Volkan Cevher (NeurIPS, 2021)

Curriculum Design for Teaching via Demonstrations: Theory and Applications. - Gaurav Yengera; Rati Devidze; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2021)

Robust Learning from Observation with Model Misspecification. - Luca Viano; Yu-Ting Huang 003; Parameswaran Kamalaruban; Craig Innes; Subramanian Ramamoorthy; Adrian Weller (AAMAS, 2022)

Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. - Rati Devidze; Parameswaran Kamalaruban; Adish Singla (NeurIPS, 2022)

Proximal Curriculum for Reinforcement Learning Agents. - Georgios Tzannetos; Bárbara Gomes Ribeiro; Parameswaran Kamalaruban; Adish Singla (Trans. Mach. Learn. Res., 2023)

Informativeness of Reward Functions in Reinforcement Learning. - Rati Devidze; Parameswaran Kamalaruban; Adish Singla (AAMAS, 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 (ICAIF, 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 (ICML, 2024)

Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. - Georgios Tzannetos; Parameswaran Kamalaruban; Adish Singla (IJCAI, 2024)

Adversarially Robust Decision Transformer. - Xiaohang Tang; Afonso Marques; Parameswaran Kamalaruban; Ilija Bogunovic (NeurIPS, 2024)

Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. - Xiaohang Tang; Afonso Marques; Parameswaran Kamalaruban; Ilija Bogunovic (CoRR, 2024)

Learning Personalized Decision Support Policies. - Umang Bhatt; Valerie Chen; Katherine M. Collins; Parameswaran Kamalaruban; Emma Kallina; Adrian Weller; Ameet Talwalkar (AAAI, 2025)

Corruption Robust Offline Reinforcement Learning with Human Feedback. - Debmalya Mandal; Andi Nika; Parameswaran Kamalaruban; Adish Singla; Goran Radanovic (AISTATS, 2025)

Policy Teaching via Data Poisoning in Learning from Human Preferences. - Andi Nika; Jonathan Nöther; Debmalya Mandal; Parameswaran Kamalaruban; Adish Singla; Goran Radanovic (AISTATS, 2025)

Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints. - Parameswaran Kamalaruban; Mark Anderson; Stuart Burrell; Maeve Madigan; Piotr Skalski; David Sutton (CoRR, 2025)