| Picking Winning Tickets Before Training by Preserving Gradient Flow C Wang, G Zhang, R Grosse International Conference on Learning Representations, 2020 | 652 | 2020 |
| Three Mechanisms of Weight Decay Regularization G Zhang, C Wang, B Xu, R Grosse International Conference on Learning Representations, 2018 | 282 | 2018 |
| EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis C Wang, R Grosse, S Fidler, G Zhang International Conference on Machine Learning, 2019 | 127 | 2019 |
| Differentiable Compositional Kernel Learning for Gaussian Processes S Sun, G Zhang, C Wang, W Zeng, J Li, R Grosse International Conference on Machine Learning, 2018 | 89 | 2018 |
| Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints C Wang, Y Jiang, C Yang, H Liu, Y Chen International Conference on Learning Representations, 2024 | 37 | 2024 |
| Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? C Wang*, S Sun*, R Grosse International Conference on Artificial Intelligence and Statistics, 2020 | 16 | 2020 |
| A Revisit on Deep Hashings for Large-scale Content-based Image Retrieval D Cai, X Gu, C Wang arXiv preprint arXiv:1711.06016, 2017 | 16 | 2017 |
| Teaching an Active Learner with Contrastive Examples C Wang, A Singla, Y Chen Advances in Neural Information Processing Systems, 2021 | 9 | 2021 |
| Active Policy Improvement from Multiple Black-box Oracles X Liu*, T Yoneda*, C Wang*, M Walter, Y Chen International Conference on Machine Learning, 2023 | 6 | 2023 |
| MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ... arXiv preprint arXiv:2407.04842, 2024 | | 2024 |
| Model-based Policy Optimization under Approximate Bayesian Inference C Wang, Y Chen, K Murphy International Conference on Artificial Intelligence and Statistics, 2024 | | 2024 |
| Don’t Be Pessimistic Too Early: Look K Steps Ahead! C Wang, Z Ye, K Murphy, Y Chen International Conference on Artificial Intelligence and Statistics, 3313-3321, 2024 | | 2024 |
| Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts C Wang, Z Ye, Z Feng, A Badanidiyuru, H Xu Advances in Neural Information Processing Systems, 2023 | | 2023 |
| Iterative Machine Teaching for Black-box Markov Learners C Wang, S Zilles, A Singla, Y Chen International Conference on Machine Learning, Workshop on Theory-of-Mind, 2023 | | 2023 |
| MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge? Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ... ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Roger GrosseAssociate Professor, University of TorontoVerified email at cs.toronto.edu
