activity
20222026
most citedOffline Policy Evaluation and Optimization under Confounding

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

The Context Gathering Decision Process: A POMDP Framework for Agentic Search

Chinmaya Kausik, Adith Swaminathan, Nathan Kallus

Large Language Model (LLM) agents are deployed in complex environments -- such as massive codebases, enterprise databases, and conversational histories -- where the relevant state…

cs.LG2024

Leveraging Offline Data in Linear Latent Contextual Bandits

Chinmaya Kausik, Kevin Tan, Ambuj Tewari

Leveraging offline data is an attractive way to accelerate online sequential decision-making. However, it is crucial to account for latent states in users or environments in the of…

cs.LG2024

A Theoretical Framework for Partially Observed Reward-States in RLHF

Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano +1

The growing deployment of reinforcement learning from human feedback (RLHF) calls for a deeper theoretical investigation of its underlying models. The prevalent models of RLHF do n…

cs.LG2023

Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers

Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia

Despite the importance of denoising in modern machine learning and ample empirical work on supervised denoising, its theoretical understanding is still relatively scarce. One conce…

stat.ML2022★ 1 cited

Offline Policy Evaluation and Optimization under Confounding

Chinmaya Kausik, Yangyi Lu, Kevin Tan +3

Evaluating and optimizing policies in the presence of unobserved confounders is a problem of growing interest in offline reinforcement learning. Using conventional methods for offl…

stat.ML2022

Learning Mixtures of Markov Chains and MDPs

Chinmaya Kausik, Kevin Tan, Ambuj Tewari

We present an algorithm for learning mixtures of Markov chains and Markov decision processes (MDPs) from short unlabeled trajectories. Specifically, our method handles mixtures of…

math.GT2022

An algorithm to calculate generalized Seifert matrices

Stefan Friedl, Chinmaya Kausik, José Pedro Quintanilha

We develop an algorithm for computing generalized Seifert matrices for colored links given as closures of colored braids. The algorithm has been implemented by the second author as…