| Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, J Duchi International Conference on Learning Representations (ICLR), 2018 | 789 | 2018 |
| Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation M O'Kelly, A Sinha, H Namkoong, JC Duchi, R Tedrake Advances in Neural Information Processing Systems, 9848-9859, 2018 | 190 | 2018 |
| Certifiable distributional robustness with principled adversarial training A Sinha, H Namkoong, J Duchi arXiv preprint arXiv:1710.10571 2, 2017 | 125 | 2017 |
| Learning kernels with random features A Sinha, JC Duchi NIPS, 1298-1306, 2016 | 108 | 2016 |
| Visualizing the very-large-scale motions in turbulent pipe flow LHO Hellström, A Sinha, AJ Smits Physics of Fluids 23 (1), 011703, 2011 | 99 | 2011 |
| Efficient Black-box Assessment of Autonomous Vehicle Safety J Norden, M O'Kelly, A Sinha arXiv preprint arXiv:1912.03618, 2019 | 56 | 2019 |
| Objective measurement of function following lumbar spinal stenosis decompression reveals improved functional capacity with stagnant real-life physical activity M Smuck, A Muaremi, P Zheng, J Norden, A Sinha, R Hu, ... The Spine Journal 18 (1), 15-21, 2018 | 50 | 2018 |
| Adaptive sampling probabilities for non-smooth optimization H Namkoong, A Sinha, S Yadlowsky, JC Duchi International Conference on Machine Learning, 2574-2583, 2017 | 44 | 2017 |
| Objective measurement of free-living physical activity (performance) in lumbar spinal stenosis: are physical activity guidelines being met? J Norden, M Smuck, A Sinha, R Hu, C Tomkins-Lane The Spine Journal 17 (1), 26-33, 2017 | 29 | 2017 |
| Neural bridge sampling for evaluating safety-critical autonomous systems A Sinha, M O'Kelly, R Tedrake, JC Duchi Advances in Neural Information Processing Systems 33, 6402-6416, 2020 | 27 | 2020 |
| Formulazero: Distributionally robust online adaptation via offline population synthesis A Sinha, M O’Kelly, H Zheng, R Mangharam, J Duchi, R Tedrake International Conference on Machine Learning, 8992-9004, 2020 | 22 | 2020 |
| Digital biomarkers of spine and musculoskeletal disease from accelerometers: Defining phenotypes of free-living physical activity in knee osteoarthritis and lumbar spinal stenosis C Tomkins-Lane, J Norden, A Sinha, R Hu, M Smuck The Spine Journal 19 (1), 15-23, 2019 | 12 | 2019 |
| Safety-critical machine learning: development and testing A Sinha Stanford University, 2020 | 1 | 2020 |
| In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation M O'Kelly, A Sinha, J Norden, H Namkoong arXiv preprint arXiv:1812.00293, 2018 | 1 | 2018 |
| Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula E Bronstein, S Srinivasan, S Paul, A Sinha, M O’Kelly, P Nikdel, ... Conference on Robot Learning, 188-198, 2023 | | 2023 |
| Novel use of accelerometry data to develop phenotypes of free-living physical activity (performance) and differentiate between knee osteoarthritis, lumbar spinal stenosis, and … C Tomkins-Lane, J Norden, A Sinha, R Hu, M Smuck Osteoarthritis and Cartilage 24, S430, 2016 | | 2016 |
| Objective measurement of free-living physical activity (performance) in lumbar spinal stenosis: are physical activity guidelines being met? J Norden, M Smuck, A Sinha, R Hu, C Tomkins-Lane Osteoarthritis and Cartilage 24, S481, 2016 | | 2016 |
| Characterizing and distinguishing free-living physical activity (performance) in disease populations using accelerometry data: Applying new analytic techniques to derive … A Sinha, J Norden, C Tomkins-Lane, R Hu, M Smuck Osteoarthritis and Cartilage 24, S203, 2016 | | 2016 |
| Dynamic management of network risk from epidemic phenomena A Sinha, J Duchi, N Bambos 2015 54th IEEE Conference on Decision and Control (CDC), 1583-1588, 2015 | | 2015 |
| Coordinate Descent with Coupled Constraints A Sinha | | 2015 |
John DuchiAssociate Professor of Statistics and Electrical Engineering, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
