Classification from Positive, Unlabeled and Biased Negative Data. - Yu-Guan Hsieh; Gang Niu 001; Masashi Sugiyama (ICML, 2019)

On the convergence of single-call stochastic extra-gradient methods. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (NeurIPS, 2019)

Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (NeurIPS, 2020)

Optimization in Open Networks via Dual Averaging. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (CDC, 2021)

Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium. - Yu-Guan Hsieh; Kimon Antonakopoulos; Panayotis Mertikopoulos (COLT, 2021)

No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation. - Yu-Guan Hsieh; Kimon Antonakopoulos; Volkan Cevher; Panayotis Mertikopoulos (NeurIPS, 2022)

Uplifting Bandits. - Yu-Guan Hsieh; Shiva Prasad Kasiviswanathan; Branislav Kveton (NeurIPS, 2022)

Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. - Yu-Guan Hsieh; Franck Iutzeler; Jérôme Malick; Panayotis Mertikopoulos (J. Mach. Learn. Res., 2022)

Thompson Sampling with Diffusion Generative Prior. - Yu-Guan Hsieh; Shiva Prasad Kasiviswanathan; Branislav Kveton; Patrick Blöbaum (ICML, 2023)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shin-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (CoRR, 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)

Push-Pull With Device Sampling. - Yu-Guan Hsieh; Yassine Laguel; Franck Iutzeler; Jérôme Malick (IEEE Trans. Autom. Control., 2023)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shih-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (ICLR, 2024)

Careful with that Scalpel: Improving Gradient Surgery with an EMA. - Yu-Guan Hsieh; James Thornton; Eugène Ndiaye; Michal Klein; Marco Cuturi; Pierre Ablin (ICML, 2024)

Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions. - 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 (CoRR, 2024)

Simple ReFlow: Improved Techniques for Fast Flow Models. - Beomsu Kim; Yu-Guan Hsieh; Michal Klein; Marco Cuturi; Jong Chul Ye; Bahjat Kawar; James Thornton (ICLR, 2025)