Aman Sinha

17 papers A* 4Misc 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 Misc conf
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling.
CoRL
Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2024 J jnl
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling.
CoRR
Aman Sinha, Payam Nikdel, Supratik Paul, Shimon Whiteson
2022 Misc conf
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula.
CoRL
Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2022 J jnl
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula.
CoRR
Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
2020 A* conf
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis.
ICML
Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake
2020 J jnl
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis.
CoRR
Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John C. Duchi, Russ Tedrake
2020 A* conf
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems.
NeurIPS
Aman Sinha, Matthew O'Kelly, Russ Tedrake, John C. Duchi
2020 J jnl
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems.
CoRR
Aman Sinha, Matthew O'Kelly, John C. Duchi, Russ Tedrake
2019 J jnl
Efficient Black-box Assessment of Autonomous Vehicle Safety.
CoRR
Justin Norden, Matthew O'Kelly, Aman Sinha
2018 — conf
Certifying Some Distributional Robustness with Principled Adversarial Training.
ICLR
Aman Sinha, Hongseok Namkoong, John C. Duchi
2018 J jnl
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation.
CoRR
Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong
2018 A* conf
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation.
NeurIPS
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, Russ Tedrake, John C. Duchi
2018 J jnl
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation.
CoRR
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John C. Duchi, Russ Tedrake
2017 A* conf
Adaptive Sampling Probabilities for Non-Smooth Optimization.
ICML
Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi
2017 J jnl
Certifiable Distributional Robustness with Principled Adversarial Training.
CoRR
Aman Sinha, Hongseok Namkoong, John C. Duchi
2016 — conf
Learning Kernels with Random Features.
NIPS
Aman Sinha, John C. Duchi
2015 — conf
Dynamic management of network risk from epidemic phenomena.
CDC
Aman Sinha, John C. Duchi, Nicholas Bambos