| Score-based Continuous-time Discrete Diffusion Models H Sun, L Yu, B Dai, D Schuurmans, H Dai arXiv preprint arXiv:2211.16750, 2022 | 39 | 2022 |
| Improving learning to branch via reinforcement learning H Sun, W Chen, H Li, L Song | 26 | 2020 |
| Path auxiliary proposal for mcmc in discrete space H Sun, H Dai, W Xia, A Ramamurthy International Conference on Learning Representations, 2021 | 22 | 2021 |
| Discrete Langevin Samplers via Wasserstein Gradient Flow H Sun, H Dai, B Dai, H Zhou, D Schuurmans International Conference on Artificial Intelligence and Statistics, 6290-6313, 2023 | 20 | 2023 |
| scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection Z Zhang, H Sun, R Mariappan, X Chen, X Chen, MS Jain, M Efremova, ... Nature Communications 14 (1), 384, 2023 | 17 | 2023 |
| Multi-task Learning of Order-Consistent Causal Graphs X Chen, H Sun, C Ellington, E Xing, L Song Advances in Neural Information Processing Systems 34, 11083-11095, 2021 | 15 | 2021 |
| Optimal scaling for locally balanced proposals in discrete spaces H Sun, H Dai, D Schuurmans Advances in Neural Information Processing Systems 35, 23867-23880, 2022 | 11 | 2022 |
| Annealed Training for Combinatorial Optimization on Graphs H Sun, EK Guha, H Dai arXiv preprint arXiv:2207.11542, 2022 | 11 | 2022 |
| Revisiting sampling for combinatorial optimization H Sun, K Goshvadi, A Nova, D Schuurmans, H Dai International Conference on Machine Learning, 32859-32874, 2023 | 7 | 2023 |
| Any-scale balanced samplers for discrete space H Sun, B Dai, C Sutton, D Schuurmans, H Dai The Eleventh International Conference on Learning Representations, 2023 | 2 | 2023 |
| Discs: A benchmark for discrete sampling K Goshvadi, H Sun, X Liu, A Nova, R Zhang, W Grathwohl, D Schuurmans, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Provable Learning-based Algorithm For Sparse Recovery X Chen, H Sun, L Song International Conference on Learning Representations, 2022 | | 2022 |
| Stochastic Gradient Discrete Langevin Dynamics H Sun, BY Wang, K Goshvadi, Y Xue, D Schuurmans, H Dai | | |
