| Tractable function-space variational inference in bayesian neural networks TGJ Rudner, Z Chen, YW Teh, Y Gal Advances in Neural Information Processing Systems 35, 22686-22698, 2022 | 37 | 2022 |
| Efficient neural network training via forward and backward propagation sparsification X Zhou, W Zhang, Z Chen, S Diao, T Zhang Advances in neural information processing systems 34, 15216-15229, 2021 | 35 | 2021 |
| Rethinking function-space variational inference in Bayesian neural networks TGJ Rudner, Z Chen, Y Gal Third Symposium on Advances in Approximate Bayesian Inference, 2021 | 23 | 2021 |
| Probabilistic bilevel coreset selection X Zhou, R Pi, W Zhang, Y Lin, Z Chen, T Zhang International Conference on Machine Learning, 27287-27302, 2022 | 22 | 2022 |
| A neural tangent kernel perspective on function-space regularization in neural networks Z Chen, X Shi, TGJ Rudner, Q Feng, W Zhang, T Zhang OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022 | 2 | 2022 |
| Conditional Bayesian Quadrature Z Chen, M Naslidnyk, A Gretton, FX Briol arXiv preprint arXiv:2406.16530, 2024 | | 2024 |
| Conformal Counterfactual Inference under Hidden Confounding Z Chen, R Guo, JF Ton, Y Liu arXiv preprint arXiv:2405.12387, 2024 | | 2024 |
