Sinha, Aman

8 publications

CoRL 2024 Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson

CoRL 2022 Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O’Kelly, Payam Nikdel, Shimon Whiteson

ICML 2020 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis Aman Sinha, Matthew O’Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake

NeurIPS 2020 Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha, Matthew O'Kelly, Russ Tedrake, John C. Duchi

ICLR 2018 Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha, Hongseok Namkoong, John Duchi

NeurIPS 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-Event Simulation Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, Russ Tedrake, John C. Duchi

ICML 2017 Adaptive Sampling Probabilities for Non-Smooth Optimization Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi

NeurIPS 2016 Learning Kernels with Random Features Aman Sinha, John C. Duchi