Federated Learning for Site Aware Chest Radiograph Screening. - Arunava Chakravarty; Avik Kar; Ramanathan Sethuraman; Debdoot Sheet (ISBI, 2021)

Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs. - Rahul Singh 001; Akshay Mete; Avik Kar; P. R. Kumar 001 (CoRR, 2023)

Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation. - Anupam Borthakur; Apoorva Srivastava; Avik Kar; Dipayan Dewan; Debdoot Sheet (ICIP, 2024)

Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation. - Rahul Singh 001; Akshay Mete; Avik Kar; Panganamala R. Kumar (ICML, 2024)

Adaptive Discretization-based Non-Episodic Reinforcement Learning in Metric Spaces. - Avik Kar; Rahul Singh 001 (CoRR, 2024)

Linear Bandits With Side Observations on Networks. - Avik Kar; Rahul Singh 001; Fang Liu 020; Xin Liu 002; Ness B. Shroff (IEEE/ACM Trans. Netw., 2024)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces. - Avik Kar; Rahul Singh 001 (UAI, 2025)