| Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction X Jiang, SU Stich Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 13 | 2023 |
| A low memory footprint quantized neural network for depth completion of very sparse time-of-flight depth maps X Jiang, V Cambareri, G Agresti, CI Ugwu, A Simonetto, F Cardinaux, ... Proceedings of the ieee/cvf conference on computer vision and pattern …, 2022 | 6 | 2022 |
| Stabilized Proximal-Point Methods for Federated Optimization X Jiang, A Rodomanov, SU Stich arXiv preprint arXiv:2407.07084, 2024 | | 2024 |
| Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction A Rodomanov, X Jiang, S Stich arXiv preprint arXiv:2406.06398, 2024 | | 2024 |
| Federated Optimization with Doubly Regularized Drift Correction X Jiang, A Rodomanov, SU Stich ICML 2024 - International Conference on Machine Learning, 2024 | | 2024 |
| An improved analysis of per-sample and per-update clipping in federated learning B Li*, X Jiang*, MN Schmidt, TS Alstrøm, SU Stich The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
| Diversity-adjusted adaptive step size P Yazdkhasti, X Jiang, SU Stich OPT 2023: Optimization for Machine Learning, 0 | | |
Sebastian Urban StichCISPA Helmholtz CenterVerified email at cispa.de
