a list of my publications and preprints


  • 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]

  • 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]


  • Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning

    Chinmaya Kausik*, Kashvi Srivastava*, Rishi Sonthalia*. Under review, 2023. [arXiv]

  • Offline Policy Evaluation and Optimization under Confounding

    Chinmaya Kausik*, Yangyi Lu*, Kevin Tan*, Yixin Wang, Ambuj Tewari. Under review, 2023. [arXiv]