| Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection E Candes, Y Fan, L Janson, J Lv Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 853 | 2018 |
| Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions L Janson, E Schmerling, A Clark, M Pavone The International journal of robotics research 34 (7), 883-921, 2015 | 713 | 2015 |
| Risk-constrained reinforcement learning with percentile risk criteria Y Chow, M Ghavamzadeh, L Janson, M Pavone Journal of Machine Learning Research 18 (167), 1-51, 2018 | 630 | 2018 |
| Deterministic sampling-based motion planning: Optimality, complexity, and performance L Janson, B Ichter, M Pavone The International Journal of Robotics Research 37 (1), 46-61, 2018 | 179 | 2018 |
| Monte Carlo motion planning for robot trajectory optimization under uncertainty L Janson, E Schmerling, M Pavone Robotics Research: Volume 2, 343-361, 2017 | 143 | 2017 |
| Number of lymph nodes removed and survival after gastric cancer resection: an analysis from the US Gastric Cancer Collaborative S Gholami, L Janson, DJ Worhunsky, TB Tran, MH Squires III, LX Jin, ... Journal of the American College of Surgeons 221 (2), 291-299, 2015 | 117 | 2015 |
| Inference for batched bandits K Zhang, L Janson, S Murphy Advances in neural information processing systems 33, 9818-9829, 2020 | 108 | 2020 |
| Optimal sampling-based motion planning under differential constraints: the driftless case E Schmerling, L Janson, M Pavone 2015 IEEE International Conference on Robotics and Automation (ICRA), 2368-2375, 2015 | 101 | 2015 |
| Metropolized knockoff sampling S Bates, E Candès, L Janson, W Wang Journal of the American Statistical Association 116 (535), 1413-1427, 2021 | 87 | 2021 |
| An asymptotically-optimal sampling-based algorithm for bi-directional motion planning JA Starek, JV Gomez, E Schmerling, L Janson, L Moreno, M Pavone 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 87* | 2015 |
| Eigenprism: inference for high dimensional signal-to-noise ratios L Janson, RF Barber, E Candes Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 86 | 2017 |
| Effective degrees of freedom: a flawed metaphor L Janson, W Fithian, TJ Hastie Biometrika 102 (2), 479-485, 2015 | 73 | 2015 |
| Fast and powerful conditional randomization testing via distillation M Liu, E Katsevich, L Janson, A Ramdas Biometrika 109 (2), 277-293, 2022 | 72 | 2022 |
| Statistical Inference with M-Estimators on Adaptively Collected Data KW Zhang, L Janson, SA Murphy | 66* | 2021 |
| Cross-validation confidence intervals for test error P Bayle, A Bayle, L Janson, L Mackey Advances in Neural Information Processing Systems 33, 16339-16350, 2020 | 64 | 2020 |
| Sarcoma resection with and without vascular reconstruction: a matched case-control study GA Poultsides, TB Tran, E Zambrano, L Janson, DG Mohler, MW Mell, ... Annals of surgery 262 (4), 632-640, 2015 | 63 | 2015 |
| Familywise error rate control via knockoffs L Janson, W Su Electronic Journal of Statistics 10 (1), 960-975, 2016 | 62 | 2016 |
| Revisiting the asymptotic optimality of RRT K Solovey, L Janson, E Schmerling, E Frazzoli, M Pavone 2020 IEEE International Conference on Robotics and Automation (ICRA), 2189-2195, 2020 | 60 | 2020 |
| Optimal sampling-based motion planning under differential constraints: the drift case with linear affine dynamics E Schmerling, L Janson, M Pavone 2015 54th IEEE Conference on Decision and Control (CDC), 2574-2581, 2015 | 58 | 2015 |
| Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study S Tamang, A Milstein, HT Sørensen, L Pedersen, L Mackey, JR Betterton, ... BMJ open 7 (1), e011580, 2017 | 55 | 2017 |
Marco PavoneStanford University and NVIDIA在 stanford.edu 的电子邮件经过验证
