A list of my preprints and publications


  1. A Theoretical Framework for Partially Observed Reward-States in RLHF
    Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, and 1 more author
    arXiv preprint arXiv:2402.03282, 2024
  2. Leveraging Offline Data in Linear Latent Bandits
    Chinmaya Kausik, Kevin Tan, and Ambuj Tewari
    arXiv preprint arXiv:2405.17324, 2024
  3. Offline Policy Evaluation and Optimization under Confounding
    Chinmaya Kausik, Yangyi Lu, Kevin Tan, and 3 more authors
    In International Conference on Artificial Intelligence and Statistics , 2024
  4. Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers
    Chinmaya Kausik, Kashvi Srivastava, and Rishi Sonthalia
    Transactions on Machine Learning Research, 2024


  1. Learning Mixtures of Markov chains and MDPs
    Chinmaya Kausik, Kevin Tan, and Ambuj Tewari
    In International Conference on Machine Learning , 2023


  1. An Algorithm to Calculate Generalized Seifert Matrices
    Stefan Friedl, Chinmaya Kausik, and José Pedro Quintanilha
    Journal of Knot Theory and Its Ramifications, 2022