Dynamic management of network risk from epidemic phenomena. - Aman Sinha 001; John C. Duchi; Nicholas Bambos (CDC, 2015)

Learning Kernels with Random Features. - Aman Sinha 001; John C. Duchi (NIPS, 2016)

Adaptive Sampling Probabilities for Non-Smooth Optimization. - Hongseok Namkoong; Aman Sinha 001; Steve Yadlowsky; John C. Duchi (ICML, 2017)

Certifiable Distributional Robustness with Principled Adversarial Training. - Aman Sinha 001; Hongseok Namkoong; John C. Duchi (CoRR, 2017)

Certifying Some Distributional Robustness with Principled Adversarial Training. - Aman Sinha 001; Hongseok Namkoong; John C. Duchi (ICLR, 2018)

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation. - Matthew O'Kelly; Aman Sinha 001; Hongseok Namkoong; Russ Tedrake; John C. Duchi (NeurIPS, 2018)

In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation. - Matthew O'Kelly; Aman Sinha 001; Justin Norden; Hongseok Namkoong (CoRR, 2018)

Efficient Black-box Assessment of Autonomous Vehicle Safety. - Justin Norden; Matthew O'Kelly; Aman Sinha 001 (CoRR, 2019)

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis. - Aman Sinha 001; Matthew O'Kelly; Hongrui Zheng; Rahul Mangharam; John C. Duchi; Russ Tedrake (ICML, 2020)

Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems. - Aman Sinha 001; Matthew O'Kelly; Russ Tedrake; John C. Duchi (NeurIPS, 2020)

Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. - Eli Bronstein; Sirish Srinivasan; Supratik Paul; Aman Sinha 001; Matthew O'Kelly; Payam Nikdel; Shimon Whiteson (CoRL, 2022)

Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling. - Aman Sinha 001; Payam Nikdel; Supratik Paul; Shimon Whiteson (CoRL, 2024)