| On the convergence of single-call stochastic extra-gradient methods YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos Advances in Neural Information Processing Systems 32, 6936-6946, 2019 | 196 | 2019 |
| Classification from positive, unlabeled and biased negative data YG Hsieh, G Niu, M Sugiyama Proceedings of the 36th International Conference on Machine Learning, 2820-2829, 2019 | 95 | 2019 |
| Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos Advances in Neural Information Processing Systems 33, 2020 | 91 | 2020 |
| Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium YG Hsieh, K Antonakopoulos, P Mertikopoulos Conference on Learning Theory (COLT), 2021 | 80 | 2021 |
| Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation SY Yeh, YG Hsieh, Z Gao, BBW Yang, G Oh, Y Gong International Conference on Learning Representations (ICLR), 2024 | 53 | 2024 |
| Multi-agent online optimization with delays: Asynchronicity, adaptivity, and optimism YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos Journal of Machine Learning Research 23(78):1−49, 2022 | 37 | 2022 |
| No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation YG Hsieh, K Antonakopoulos, V Cevher, P Mertikopoulos Advances in Neural Information Processing Systems 35, 2022 | 26 | 2022 |
| Optimization in Open Networks via Dual Averaging YG Hsieh, F Iutzeler, J Malick, P Mertikopoulos CDC '21: Proceedings of the 60th IEEE Annual Conference on Decision and Control, 2021 | 19 | 2021 |
| Thompson Sampling with Diffusion Generative Prior YG Hsieh, SP Kasiviswanathan, B Kveton, P Blöbaum Proceedings of the 40th International Conference on Machine Learning, 2023 | 6 | 2023 |
| Push–pull with device sampling YG Hsieh, Y Laguel, F Iutzeler, J Malick IEEE Transactions on Automatic Control 68 (12), 7179-7194, 2023 | 4 | 2023 |
| Simple reflow: Improved techniques for fast flow models B Kim, YG Hsieh, M Klein, M Cuturi, JC Ye, B Kawar, J Thornton arXiv preprint arXiv:2410.07815, 2024 | 2 | 2024 |
| Uplifting Bandits YG Hsieh, SP Kasiviswanathan, B Kveton Advances in Neural Information Processing Systems 35, 2022 | 2 | 2022 |
| Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions YG Hsieh, CY Hsieh, SY Yeh, L Béthune, HP Ansari, PKA Vasu, CL Li, ... arXiv preprint arXiv:2407.06723, 2024 | 1 | 2024 |
| Decision-Making in multi-agent systems: delays, adaptivity, and learning in games YG Hsieh Université Grenoble Alpes [2020-....], 2023 | 1 | 2023 |
| Careful with that Scalpel: Improving Gradient Surgery with an EMA YG Hsieh, J Thornton, E Ndiaye, M Klein, M Cuturi, P Ablin Proceedings of the 41st International Conference on Machine Learning, 2024 | | 2024 |