Singh, Rahul

12 publications

JMLR 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent Rahul Singh, Abhinek Shukla, Dootika Vats

UAI 2025 Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces Avik Kar, Rahul Singh

ICML 2024 Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation Rahul Singh, Akshay Mete, Avik Kar, Panganamala Kumar

MLJ 2024 Multi-Armed Bandits with Dependent Arms Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff

TMLR 2023 Signed Graph Neural Networks: A Frequency Perspective Rahul Singh, Yongxin Chen

NeurIPS 2022 Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems Akshay Mete, Rahul Singh, P. R. Kumar

AAAI 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits Guojun Xiong, Jian Li, Rahul Singh

L4DC 2022 Sample-Based Distributional Policy Gradient Rahul Singh, Keuntaek Lee, Yongxin Chen

L4DC 2021 Reward Biased Maximum Likelihood Estimation for Reinforcement Learning Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar

L4DC 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning Rahul Singh, Qinsheng Zhang, Yongxin Chen

NeurIPS 2019 Kernel Instrumental Variable Regression Rahul Singh, Maneesh Sahani, Arthur Gretton

AAAI 2012 Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks Neo D. Martinez, Perrine Tonnin, Barbara Bauer, Rosalyn C. Rael, Rahul Singh, Sanghyuk Yoon, Ilmi Yoon, Jennifer A. Dunne