| 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 | 36 | 2023 |
| Robust Asymmetric Learning in POMDPs A Warrington, JW Lavington, A Scibior, M Schmidt, F Wood International Conference on Machine Learning, 11013-11023, 2021 | 28 | 2021 |
| Conditional permutation invariant flows B Zwartsenberg, A Ścibior, M Niedoba, V Lioutas, Y Liu, J Sefas, S Dabiri, ... arXiv preprint arXiv:2206.09021, 2022 | 7 | 2022 |
| 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 | 5* | 2023 |
| 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 | 5 | 2023 |
| 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 | 4 | 2024 |
| Improved policy optimization for online imitation learning JW Lavington, S Vaswani, M Schmidt Conference on Lifelong Learning Agents, 1146-1173, 2022 | 4 | 2022 |
| Critic sequential monte carlo V Lioutas, JW Lavington, J Sefas, M Niedoba, Y Liu, B Zwartsenberg, ... arXiv preprint arXiv:2205.15460, 2022 | 4 | 2022 |
| 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 | 2 | 2021 |
| A Probabilistic Modeling Approach to CRISPR-Cas9 JW Lavington University of Colorado at Boulder, 2018 | 2 | 2018 |
| 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 | 1 | 2023 |
| Vehicle type specific waypoint generation Y Liu, JW Lavington, A Scibior, F Wood 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 1 | 2022 |
| 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 | | 2024 |
| 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 |
| 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 | | 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 |
| 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 | | 2021 |
Mark SchmidtProfessor of Computer Science, University of British Columbia在 cs.ubc.ca 的电子邮件经过验证
