Lucas Janson
Lucas Janson
Assistant Professor, Harvard University Department of Statistics
Verified email at fas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
3592015
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
256*2018
Risk-constrained reinforcement learning with percentile risk criteria
Y Chow, M Ghavamzadeh, L Janson, M Pavone
The Journal of Machine Learning Research 18 (1), 6070-6120, 2017
1192017
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
812018
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
682015
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
672015
Monte Carlo motion planning for robot trajectory optimization under uncertainty
L Janson, E Schmerling, M Pavone
Robotics Research, 343-361, 2018
622018
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
542017
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
50*2015
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
442015
Effective degrees of freedom: a flawed metaphor
L Janson, W Fithian, TJ Hastie
Biometrika 102 (2), 479-485, 2015
442015
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
312017
Familywise error rate control via knockoffs
L Janson, W Su
Electronic Journal of Statistics 10 (1), 960-975, 2016
302016
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, 2015
292015
Safe motion planning in unknown environments: Optimality benchmarks and tractable policies
L Janson, T Hu, M Pavone
arXiv preprint arXiv:1804.05804, 2018
272018
Metropolized knockoff sampling
S Bates, E Candès, L Janson, W Wang
Journal of the American Statistical Association, 1-15, 2020
152020
Undergraduate experiment in point-contact spectroscopy with a Nb/Au junction
L Janson, M Klein, H Lewis, A Lucas, A Marantan, K Luna
American Journal of Physics 80 (2), 2133-140, 2012
14*2012
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
112020
Relaxing the assumptions of knockoffs by conditioning
D Huang, L Janson
Annals of Statistics 48 (5), 3021-3042, 2020
92020
A Model-Free Approach to High-Dimensional Inference
L Janson
Stanford University, 2017
72017
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