| BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Y Wen, D Tran, J Ba International Conference on Learning Representations 2020, 2020 | 266 | 2020 |
| Benchmarking model-based reinforcement learning T Wang, X Bao, I Clavera, J Hoang, Y Wen, E Langlois, S Zhang, G Zhang, ... arXiv preprint arXiv:1907.02057, 2019 | 262 | 2019 |
| Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches Y Wen, P Vicol, J Ba, D Tran, R Grosse International Conference on Learning Representations 2018, 2018 | 256 | 2018 |
| Efficient and scalable bayesian neural nets with rank-1 factors M Dusenberry, G Jerfel, Y Wen, Y Ma, J Snoek, K Heller, ... International conference on machine learning, 2782-2792, 2020 | 144 | 2020 |
| An empirical study of stochastic gradient descent with structured covariance noise Y Wen, K Luk, M Gazeau, G Zhang, H Chan, J Ba International Conference on Artificial Intelligence and Statistics, 3621-3631, 2020 | 41* | 2020 |
| Combining ensembles and data augmentation can harm your calibration Y Wen, G Jerfel, R Muller, MW Dusenberry, J Snoek, ... International Conference on Learning Representations 2021, 2020 | 36* | 2020 |
| Neural Program Generation Modulo Static Analysis R Mukherjee, Y Wen, D Chaudhari, TW Reps, S Chaudhuri, C Jermaine Advances in Neural Information Processing Systems (2021), 2021 | 15 | 2021 |
| A simple approach to improve single-model deep uncertainty via distance-awareness JZ Liu, S Padhy, J Ren, Z Lin, Y Wen, G Jerfel, Z Nado, J Snoek, D Tran, ... Journal of Machine Learning Research 23, 1-63, 2022 | 9 | 2022 |
| Natural Language to Code Generation in Interactive Data Science Notebooks P Yin, WD Li, K Xiao, A Rao, Y Wen, K Shi, J Howland, P Bailey, ... arXiv preprint arXiv:2212.09248, 2022 | | 2022 |
Jimmy BaUniversity of TorontoVerified email at cs.toronto.edu
