Yu-Guan Hsieh

Ph.D. Candidate

University of Grenoble Alpes

About me

I am a Ph.D. candidate at University of Grenoble Alpes supervised by Jérôme Malick, Franck Iutzeler, and Panayotis Mertikopoulos. My current research interests lie in the intersection of optimization and machine learning, with a focus on minimax optimization, online learning, and distributed optimization. Apart from this, I am broadly interested in various topics in AI-related mathematics and am open to working on different subjects in the future.

Before my Ph.D., I studied computer science at ENS Paris and got a double degree MSc from the CS department of ENS Paris and the Mathematics department of ENS Paris-Saclay. I am serving as a reviewer for ICML, NeurIPS, and ICLR.

Contact: yu-guan.hsieh AT


  • (October 2021) I start my applied science internship at Amazon!

  • (July 2021) The paper on optimization in open networks is accepted at CDC 2021.

  • (May 2021) The paper on adaptive learning in games is accepted at COLT 2021.

Publications & Preprints

Optimization in Open Networks via Dual Averaging
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, and Panayotis Mertikopoulos
IEEE Conference on Decision and Control (CDC), 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
Yu-Guan Hsieh, Kimon Antonakopoulos, and Panayotis Mertikopoulos
Conference on Learning Theory (COLT), 2021
Paper Slides Video Poster
Multi-agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, and Panayotis Mertikopoulos, 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, and Panayotis Mertikopoulos
Neural Information Processing Systems (NeurIPS), 2020
Paper Slides Video Poster Code
On the Convergence of Single-Call Stochastic Extra-Gradient Methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, and Panayotis Mertikopoulos
Neural Information Processing Systems (NeurIPS), 2019
Paper Slides Poster
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh, Gang Niu, and Masashi Sugiyama
International Conference on Machine Learning (ICML), 2019
Paper Slides Poster Code


  • 1996

    Born in Taipei, Taiwan

    I was born in Taiwan, this beautiful island on which both western democracy and eastern lifestyle can be found. Yes, that is surprisingly rare. Moreover, Taiwan is also considered as one of the best places for expats living abroad and is the first in Asia that legalizes same-sex marriage. I am proud of being Taiwanese.

  • IMO


    IMO silver medal in Colombia

    My passion for mathematics was already developed in my childhood. From 12 to 18 years old, I actively participated in math competitions and spent a lot of time on Olympiad type questions. Especially, during my second year of high school, I was so fortunate to become one of the six contestants representing Taiwan in IMO 2013 after passing multiple stages of selection.

  • Moving to France

    2014 July

    Move to Lyon, France

    The randomness of life brought me to France after I graduated from high school. I got this opportunity thanks to the CPGE Taiwan program which recruit Taiwanese students to study in French classe prepa through a maths exam. After 6 months of intensive French course in Taiwan, in July 2014, I embarked on the journey and started my study abroad life in France.

  • ENS Paris

    2016 September

    Enter ENS Paris

    After two years of hard work. I was admitted to ENS Paris, being ranked 1bis of the computer science group in the entrance exam (bis as I am not French). Only during the first and half years we actually followed courses on the campus of ENS. Besides math and computer science, I also attended several cognitive science courses (which granted me a minor in cognitive science).

  • 2018 March~August

    Internship at Riken AIP, Tokyo, Japan

    As a fan of Japanese Culture, I decided to go to Japan for my first-year master’s internship. Thanks to my kind internship advisors and co-workers, this internship marked the beginning of my research career. My work centered around weakly-supervised learning and my first paper was written. I also enjoyed very much the time off from work. I benefited from these five months so much that I dare say that it was probably my greatest turning point after my arrival in France.

  • 2019

    • Master Mathematics, Vision, Learning
    • Move to Grenoble and start Ph.D.

    For my second year of master, I studied Mathematics, Vision, and Learning in ENS Paris-Saclay. I then came to Grenoble for the internship, before starting my Ph.D. with my current advisors in this “Capital of the Alps”.

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    My CV