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Jonathan Wilder Lavington
Jonathan Wilder Lavington
PhD Student, University of British Columbia
Bestätigte E-Mail-Adresse bei cs.ubc.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Noise is not the main factor behind the gap between sgd and adam on transformers, but sign descent might be
F Kunstner, J Chen, JW Lavington, M Schmidt
arXiv preprint arXiv:2304.13960, 2023
492023
Robust Asymmetric Learning in POMDPs
A Warrington, JW Lavington, A Scibior, M Schmidt, F Wood
International Conference on Machine Learning, 11013-11023, 2021
332021
A diffusion-model of joint interactive navigation
M Niedoba, J Lavington, Y Liu, V Lioutas, J Sefas, X Liang, D Green, ...
Advances in Neural Information Processing Systems 36, 2024
82024
Conditional permutation invariant flows
B Zwartsenberg, A Ścibior, M Niedoba, V Lioutas, Y Liu, J Sefas, S Dabiri, ...
arXiv preprint arXiv:2206.09021, 2022
82022
Target-based Surrogates for Stochastic Optimization
J Wilder Lavington, S Vaswani, R Babanezhad, M Schmidt, N Le Roux
arXiv e-prints, arXiv: 2302.02607, 2023
7*2023
Critic sequential monte carlo
V Lioutas, JW Lavington, J Sefas, M Niedoba, Y Liu, B Zwartsenberg, ...
arXiv preprint arXiv:2205.15460, 2022
72022
Heavy-tailed noise does not explain the gap between SGD and Adam, but sign descent might
F Kunstner, J Chen, JW Lavington, M Schmidt
International Conference on Learning Representations, 5, 2023
62023
Improved policy optimization for online imitation learning
JW Lavington, S Vaswani, M Schmidt
Conference on Lifelong Learning Agents, 1146-1173, 2022
62022
A Closer Look at Gradient Estimators with Reinforcement Learning as Inference
JW Lavington, M Teng, M Schmidt, F Wood
Deep RL Workshop NeurIPS 2021, 2021
32021
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
JW Lavington, K Zhang, V Lioutas, M Niedoba, Y Liu, D Green, ...
arXiv preprint arXiv:2405.04491, 2024
22024
A Probabilistic Modeling Approach to CRISPR-Cas9
JW Lavington
University of Colorado at Boulder, 2018
22018
Nearest Neighbour Score Estimators for Diffusion Generative Models
M Niedoba, D Green, S Naderiparizi, V Lioutas, JW Lavington, X Liang, ...
arXiv preprint arXiv:2402.08018, 2024
12024
Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm
AV Ramesh, A Mishkin, M Schmidt, Y Zhou, JW Lavington, J She
arXiv preprint arXiv:2307.01169, 2023
12023
Vehicle type specific waypoint generation
Y Liu, JW Lavington, A Scibior, F Wood
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
12022
An Empirical Study of Non-Uniform Sampling in Off-Policy Reinforcement Learning for Continuous Control
N Ioannidis, JW Lavington, M Schmidt
Deep RL Workshop NeurIPS 2021, 2021
12021
Semantically Consistent Video Inpainting with Conditional Diffusion Models
D Green, W Harvey, S Naderiparizi, M Niedoba, Y Liu, X Liang, ...
arXiv preprint arXiv:2405.00251, 2024
2024
Taking advantage of common assumptions in policy optimization and reinforcement learning
JW Lavington
University of British Columbia, 2024
2024
Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images
Y Liu, V Lioutas, JW Lavington, M Niedoba, J Sefas, S Dabiri, D Green, ...
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models
S Dabiri, V Lioutas, B Zwartsenberg, Y Liu, M Niedoba, X Liang, D Green, ...
arXiv preprint arXiv:2305.14621, 2023
2023
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