Yu-Guan Hsieh

28 papers A* 10Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Simple ReFlow: Improved Techniques for Fast Flow Models.
ICLR
Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2024 A* conf
Careful with that Scalpel: Improving Gradient Surgery with an EMA.
ICML
Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin
2024 J jnl
Careful with that Scalpel: Improving Gradient Surgery with an EMA.
CoRR
Yu-Guan Hsieh, James Thornton, Eugène Ndiaye, Michal Klein, Marco Cuturi, Pierre Ablin
2024 J jnl
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions.
CoRR
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
2024 A* conf
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.
ICLR
Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong
2024 J jnl
Simple ReFlow: Improved Techniques for Fast Flow Models.
CoRR
Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton
2023 — —
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).
Yu-Guan Hsieh
2023 J jnl
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.
CoRR
Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong
2023 J jnl
Push-Pull With Device Sampling.
IEEE Trans. Autom. Control.
Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
2023 A* conf
Thompson Sampling with Diffusion Generative Prior.
ICML
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
2023 J jnl
Thompson Sampling with Diffusion Generative Prior.
CoRR
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
2022 J jnl
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
J. Mach. Learn. Res.
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2022 J jnl
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation.
CoRR
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022 A* conf
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation.
NeurIPS
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
2022 J jnl
Push-Pull with Device Sampling.
CoRR
Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
2022 A* conf
Uplifting Bandits.
NeurIPS
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton
2022 J jnl
Uplifting Bandits.
CoRR
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton
2021 A* conf
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
COLT
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 J jnl
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium.
CoRR
Yu-Guan Hsieh, Kimon Antonakopoulos, Panayotis Mertikopoulos
2021 — conf
Optimization in Open Networks via Dual Averaging.
CDC
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021 J jnl
Optimization in Open Networks via Dual Averaging.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 A* conf
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
NeurIPS
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 J jnl
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020 J jnl
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2019 A* conf
Classification from Positive, Unlabeled and Biased Negative Data.
ICML
Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama
2019 A* conf
On the convergence of single-call stochastic extra-gradient methods.
NeurIPS
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2019 J jnl
On the convergence of single-call stochastic extra-gradient methods.
CoRR
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2018 J jnl
Classification from Positive, Unlabeled and Biased Negative Data.
CoRR
Yu-Guan Hsieh, Gang Niu, Masashi Sugiyama