| Neural sde: Stabilizing neural ode networks with stochastic noise X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh arXiv preprint arXiv:1906.02355, 2019 | 99 | 2019 |
| How does noise help robustness? explanation and exploration under the neural sde framework X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 51 | 2020 |
| Optimal algorithms for stochastic bilevel optimization under relaxed smoothness conditions X Chen, T Xiao, K Balasubramanian arXiv preprint arXiv:2306.12067, 2023 | 6 | 2023 |
| A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization T Xiao, X Chen, K Balasubramanian, S Ghadimi Uncertainty in Artificial Intelligence, 2324-2334, 2023 | 5 | 2023 |
| A projection-free algorithm for constrained stochastic multi-level composition optimization T Xiao, K Balasubramanian, S Ghadimi Advances in Neural Information Processing Systems 35, 19984-19996, 2022 | 4 | 2022 |
| Field-wise embedding size search via structural hard auxiliary mask pruning for click-through rate prediction T Xiao, X Xiao, M Chen, Y Chen arXiv preprint arXiv:2208.08004, 2022 | 4 | 2022 |
| Improved complexities for stochastic conditional gradient methods under interpolation-like conditions T Xiao, K Balasubramanian, S Ghadimi Operations Research Letters 50 (2), 184-189, 2022 | 2 | 2022 |
| Statistical inference for polyak-ruppert averaged zeroth-order stochastic gradient algorithm Y Jin, T Xiao, K Balasubramanian arXiv preprint arXiv:2102.05198, 2021 | 2 | 2021 |
| Accelerating sinkhorn algorithm with sparse newton iterations X Tang, M Shavlovsky, H Rahmanian, E Tardini, KK Thekumparampil, ... arXiv preprint arXiv:2401.12253, 2024 | 1 | 2024 |
| Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Y Ren, T Xiao, T Gangwani, A Rangi, H Rahmanian, L Ying, S Sanyal International Conference on Artificial Intelligence and Statistics, 3862-3870, 2024 | | 2024 |
| A Sinkhorn-type Algorithm for Constrained Optimal Transport X Tang, H Rahmanian, M Shavlovsky, KK Thekumparampil, T Xiao, ... arXiv preprint arXiv:2403.05054, 2024 | | 2024 |
| Towards Sequential Counterfactual Learning to Rank T Xiao, B Kveton, S Katariya, T Gangwani, A Rangi Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
| Towards Computational and Sample Efficiency in Stochastic Optimization T Xiao University of California, Davis, 2023 | | 2023 |
