Kausik, Chinmaya

8 publications

ICLR 2025 A Theoretical Framework for Partially-Observed Reward States in RLHF Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari

ICML 2025 Leveraging Offline Data in Linear Latent Contextual Bandits Chinmaya Kausik, Kevin Tan, Ambuj Tewari

ICMLW 2024 A Theoretical Framework for Partially Observed Reward-States in RLHF Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari

ICMLW 2024 A Theoretical Framework for Partially-Observed Reward States in RLHF Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari

TMLR 2024 Double Descent and Overfitting Under Noisy Inputs and Distribution Shift for Linear Denoisers Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia

AISTATS 2024 Offline Policy Evaluation and Optimization Under Confounding Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari

NeurIPSW 2023 Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia

ICML 2023 Learning Mixtures of Markov Chains and MDPs Chinmaya Kausik, Kevin Tan, Ambuj Tewari