papers
a list of my publications and preprints
publications
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Learning Mixtures of Markov Chains and MDPs
Chinmaya Kausik, Kevin Tan and Ambuj Tewari. Proceedings of the 40th International Conference on Machine Learning, 2023 (accepted). [ICML] [arXiv]
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An Algorithm to Calculate Generalized Seifert Matrices.
Stefan Friedl, Chinmaya Kausik and Jose Pedro Quintanilha (alphabetical order). Journal of Knot Theory and Its Ramifications, 2022. [Journal] [arXiv]
preprints
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Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning
Chinmaya Kausik*, Kashvi Srivastava*, Rishi Sonthalia*. Under review, 2023. [arXiv]
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Offline Policy Evaluation and Optimization under Confounding
Chinmaya Kausik*, Yangyi Lu*, Kevin Tan*, Yixin Wang, Ambuj Tewari. Under review, 2023. [arXiv]