• Efficient Convex Exploration for Minimizing Simple Regret in Layered Causal MDPs
    Joint with Rahul Madhavan, Aurghya Maiti and Siddharth Barman
    ArXiv, Submitted

  • Learning good interventions in causal graphs via covering
    Joint with Ayush Sawarni, Rahul Madhavan and Siddharth Barman
    UAI 2023, PMLR

  • Combinatorial categorized bandits with expert rankings
    Joint with Sayak Ray Chowdhury, Nagarajan Natarajan and Amit Sharma
    UAI 2023, PMLR

  • A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders
    Joint with Aurghya Maiti and Vineet Nair
    UAI 2022, ArXiv

  • Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
    Joint with Vibhor Porwal and Piyush Srivastava
    AISTATS 2022 (Oral), ArXiv

  • Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations
    Joint with Ayush Chauhan, Aurghya Maiti, Naman Poddar and Pulkit Goel
    StarAI 2020, Ninth International Workshop on Statistical Relational AI, AAAI 2020, ArXiv

  • SparTun : Sparse Grid Tuning in Computational Advertising
    Ampere 2018, Bing Ads, Microsoft