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2020 – today
- 2024
[c10]Shih-Ying Yeh
, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong:
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. ICLR 2024- [c9]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. ICML 2024 - [i13]Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin:
Careful with that Scalpel: Improving Gradient Surgery with an EMA. CoRR abs/2402.02998 (2024) - [i12]Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi:
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. CoRR abs/2407.06723 (2024) - 2023
- [b1]Yu-Guan Hsieh:
Decision-Making in multi-agent systems: delays, adaptivity, and learning in games. (Prise de décision dans les systèmes multi-agents: délais, adaptabilité et apprentissage dans les jeux). Grenoble Alpes University, France, 2023 - [j2]Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick:
Push-Pull With Device Sampling. IEEE Trans. Autom. Control. 68(12): 7179-7194 (2023) - [c8]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum:
Thompson Sampling with Diffusion Generative Prior. ICML 2023: 13434-13468 - [i11]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum:
Thompson Sampling with Diffusion Generative Prior. CoRR abs/2301.05182 (2023) - [i10]Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong:
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. CoRR abs/2309.14859 (2023) - 2022
- [j1]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. 23: 78:1-78:49 (2022) - [c7]Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos:
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. NeurIPS 2022 - [c6]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton:
Uplifting Bandits. NeurIPS 2022 - [i9]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton:
Uplifting Bandits. CoRR abs/2206.04091 (2022) - [i8]Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick:
Push-Pull with Device Sampling. CoRR abs/2206.04113 (2022) - [i7]Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos:
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation. CoRR abs/2206.06015 (2022) - 2021
- [c5]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CDC 2021: 514-520 - [c4]Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. COLT 2021: 2388-2422 - [i6]Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos:
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. CoRR abs/2104.12761 (2021) - [i5]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CoRR abs/2105.13348 (2021) - 2020
- [c3]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS 2020 - [i4]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR abs/2003.10162 (2020) - [i3]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR abs/2012.11579 (2020)
2010 – 2019
- 2019
- [c2]Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama:
Classification from Positive, Unlabeled and Biased Negative Data. ICML 2019: 2820-2829 - [c1]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. NeurIPS 2019: 6936-6946 - [i2]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. CoRR abs/1908.08465 (2019) - 2018
- [i1]Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama:
Classification from Positive, Unlabeled and Biased Negative Data. CoRR abs/1810.00846 (2018)
Coauthor Index
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