| 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 | 32 | 2021 |
| 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 | 26 | 2022 |
| Rethinking function-space variational inference in Bayesian neural networks TGJ Rudner, Z Chen, Y Gal Third Symposium on Advances in Approximate Bayesian Inference, 2020 | 21 | 2020 |
| Probabilistic bilevel coreset selection X Zhou, R Pi, W Zhang, Y Lin, Z Chen, T Zhang International Conference on Machine Learning, 27287-27302, 2022 | 16 | 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 | 1 | 2022 |
