| Picking Winning Tickets Before Training by Preserving Gradient Flow C Wang, G Zhang, R Grosse International Conference on Learning Representations, 2020 | 914 | 2020 |
| Three Mechanisms of Weight Decay Regularization G Zhang, C Wang, B Xu, R Grosse International Conference on Learning Representations, 2018 | 359 | 2018 |
| EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis C Wang, R Grosse, S Fidler, G Zhang International Conference on Machine Learning, 2019 | 183 | 2019 |
| 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 | 154 | 2024 |
| 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 | 109 | 2018 |
| Mitigating Jahn–Teller effect in layered cathode material via interstitial doping for high‐performance sodium‐ion batteries H Fang, H Ji, J Zhai, C Wang, C Zhu, G Chen, M Chu, T Zhang, Z Ma, ... Small 19 (35), 2301360, 2023 | 79 | 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 | 72* | 2024 |
| Grape: Generalizing robot policy via preference alignment Z Zhang, K Zheng, Z Chen, J Jang, Y Li, S Han, C Wang, M Ding, D Fox, ... arXiv preprint arXiv:2411.19309, 2024 | 58 | 2024 |
| Multi-if: Benchmarking llms on multi-turn and multilingual instructions following Y He, D Jin, C Wang, C Bi, K Mandyam, H Zhang, C Zhu, N Li, T Xu, H Lv, ... arXiv preprint arXiv:2410.15553, 2024 | 57 | 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 | 24 | 2020 |
| Beyond reward hacking: Causal rewards for large language model alignment C Wang, Z Zhao, Y Jiang, Z Chen, C Zhu, Y Chen, J Liu, L Zhang, X Fan, ... arXiv preprint arXiv:2501.09620, 2025 | 20 | 2025 |
| Active Policy Improvement from Multiple Black-box Oracles X Liu*, T Yoneda*, C Wang*, M Walter, Y Chen International Conference on Machine Learning, 2023 | 19 | 2023 |
| A Revisit on Deep Hashings for Large-scale Content-based Image Retrieval D Cai, X Gu, C Wang arXiv preprint arXiv:1711.06016, 2017 | 19 | 2017 |
| Teaching an Active Learner with Contrastive Examples C Wang, A Singla, Y Chen Advances in Neural Information Processing Systems, 2021 | 18 | 2021 |
| Preference optimization with multi-sample comparisons C Wang, Z Zhao, C Zhu, KA Sankararaman, M Valko, X Cao, Z Chen, ... https://arxiv.org/abs/2410.12138, 2024 | 13 | 2024 |
| Model-based Policy Optimization under Approximate Bayesian Inference C Wang, Y Chen, K Murphy International Conference on Artificial Intelligence and Statistics, 2024 | 6 | 2024 |
| Grounded persuasive language generation for automated marketing J Wu, C Yang, S Mahns, C Wang, H Zhu, F Fang, H Xu arXiv preprint arXiv:2502.16810, 2025 | 3 | 2025 |
| 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 | 1 | 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 | 1 | 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 | 1 | 2023 |
Roger GrosseAssociate Professor, University of TorontoVerified email at cs.toronto.edu
