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2020 – today
- 2024
[c16]Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas:
Total Variation Floodgate for Variable Importance Inference in Classification. ICML 2024- [i24]Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson:
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health. CoRR abs/2402.04933 (2024) - [i23]Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe:
Evaluating the Effectiveness of Index-Based Treatment Allocation. CoRR abs/2402.11771 (2024) - [i22]Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson:
A New Perspective on Shampoo's Preconditioner. CoRR abs/2406.17748 (2024) - [i21]Maximilian Li, Lucas Janson:
Optimal ablation for interpretability. CoRR abs/2409.09951 (2024) - [i20]Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade:
SOAP: Improving and Stabilizing Shampoo using Adam. CoRR abs/2409.11321 (2024) - 2023
- [c15]Feicheng Wang, Lucas Janson:
Rate-Matching the Regret Lower-Bound in the Linear Quadratic Regulator with Unknown Dynamics. CDC 2023: 536-541 - [i19]Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone:
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications. CoRR abs/2302.13970 (2023) - 2022
- [c14]Alexander Koenig, Zixi Liu
, Lucas Janson, Robert D. Howe:
The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms. IROS 2022: 7766-7772 - [c13]Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. L4DC 2022: 1086-1099 - [i18]Feicheng Wang, Lucas Janson:
Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics. CoRR abs/2202.05799 (2022) - [i17]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference After Adaptive Sampling in Non-Markovian Environments. CoRR abs/2202.07098 (2022) - 2021
- [j5]Feicheng Wang, Lucas Janson:
Exact Asymptotics for Linear Quadratic Adaptive Control. J. Mach. Learn. Res. 22: 265:1-265:112 (2021) - [j4]Siyuan Ma, Boyu Ren, Himel Mallick, Yo Sup Moon, Emma H. Schwager, Sagun Maharjan, Timothy L. Tickle, Yiren Lu, Rachel N. Carmody, Eric A. Franzosa, Lucas Janson, Curtis Huttenhower:
A statistical model for describing and simulating microbial community profiles. PLoS Comput. Biol. 17(9) (2021) - [c12]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference with M-Estimators on Adaptively Collected Data. NeurIPS 2021: 7460-7471 - [i16]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Statistical Inference with M-Estimators on Bandit Data. CoRR abs/2104.14074 (2021) - [i15]Alexander Koenig, Zixi Liu, Lucas Janson, Robert D. Howe:
Tactile Grasp Refinement using Deep Reinforcement Learning and Analytic Grasp Stability Metrics. CoRR abs/2109.11234 (2021) - [i14]Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. CoRR abs/2112.05745 (2021) - 2020
- [c11]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. ICRA 2020: 2189-2195 - [c10]Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone:
Map-Predictive Motion Planning in Unknown Environments. ICRA 2020: 8552-8558 - [c9]Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey:
Cross-validation Confidence Intervals for Test Error. NeurIPS 2020 - [c8]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Inference for Batched Bandits. NeurIPS 2020 - [i13]Kelly W. Zhang, Lucas Janson, Susan A. Murphy:
Inference for Batched Bandits. CoRR abs/2002.03217 (2020) - [i12]Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey:
Cross-validation Confidence Intervals for Test Error. CoRR abs/2007.12671 (2020) - [i11]Feicheng Wang, Lucas Janson:
Exact Asymptotics for Linear Quadratic Adaptive Control. CoRR abs/2011.01364 (2020)
2010 – 2019
- 2019
- [i10]Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone:
Revisiting the Asymptotic Optimality of RRT. CoRR abs/1909.09688 (2019) - [i9]Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone:
Map-Predictive Motion Planning in Unknown Environments. CoRR abs/1910.08184 (2019) - 2018
- [j3]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic sampling-based motion planning: Optimality, complexity, and performance. Int. J. Robotics Res. 37(1): 46-61 (2018) - [c7]Lucas Janson, Tommy Hu, Marco Pavone:
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. Robotics: Science and Systems 2018 - [i8]Lucas Janson, Tommy Hu, Marco Pavone:
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. CoRR abs/1804.05804 (2018) - 2017
- [j2]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. J. Mach. Learn. Res. 18: 167:1-167:51 (2017) - 2015
- [j1]Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone:
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. Int. J. Robotics Res. 34(7): 883-921 (2015) - [c6]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. CDC 2015: 2574-2581 - [c5]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal sampling-based motion planning under differential constraints: The driftless case. ICRA 2015: 2368-2375 - [c4]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone:
An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. IROS 2015: 2072-2078 - [c3]Lucas Janson, Edward Schmerling, Marco Pavone:
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. ISRR (2) 2015: 343-361 - [c2]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. ISRR (2) 2015: 507-525 - [i7]Lucas Janson, Edward Schmerling, Marco Pavone:
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. CoRR abs/1504.08053 (2015) - [i6]Lucas Janson, Brian Ichter, Marco Pavone:
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. CoRR abs/1505.00023 (2015) - [i5]Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone:
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning. CoRR abs/1507.07602 (2015) - [i4]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. CoRR abs/1512.01629 (2015) - 2014
- [i3]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case. CoRR abs/1403.2483 (2014) - [i2]Edward Schmerling, Lucas Janson, Marco Pavone:
Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics. CoRR abs/1405.7421 (2014) - 2013
- [c1]Lucas Janson, Marco Pavone:
Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions. ISRR 2013: 667-684 - [i1]Lucas Janson, Marco Pavone:
Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version. CoRR abs/1306.3532 (2013)
Coauthor Index
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