I am currently a Postdoc Researcher in the Department of Mathematics and Computer Science (IMADA) at South Denmark University (SDU). I am a member of the Data Science and Statistics (DSS) Group at SDU, and also affiliated with the Learning Theory and Optimization Collaboratory of Pioneer Center for Artificial Intelligence (PI) in Denmark.

I received my Ph.D. degree in Computer Science in 2023, where I was part of the Machine Learning Section of DIKU (Department of Computer Science, University of Copenhagen), under the supervision of Yevgeny Seldin. I am also a member of the DeLTA Lab (Denmark Learning Theory and Applications).

I received my BSc degree in Physics from National Taiwan University (NTU) in 2017. After my BSc, I worked as a research assistant at the Institute of Information Science at Academia Sinica, under the supervision of Chi-Jen Lu in online learning and lifelong learning, and wrote a few blog posts on different topics.

My research interest is Machine Learning Theory, especially on:

• Reinforcement Learning

• PAC-Bayesian analysis

• Online Learning

• Lifelong Learning

 Recent Work

• ObjectRL: An Object-Oriented Reinforcement Learning Codebase [paper]
  Gulcin Baykal, Abdullah Akgül, Manuel Haussmann, Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir
  preprint.

• Improving Actor-Critic Training with Steerable Action-Value Approximation Errors [paper]
  Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir
  ECAI 2025.

• Deep Exploration with PAC-Bayes [paper]
  Bahareh Tasdighi, Manuel Haussmann, Nicklas Werge, Yi-Shan Wu, Melih Kandemir
  ECAI 2025

• Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss [paper]
  Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
  NeurIPS 2024 (spotlight)

 News

• August 2025: I will be attending RLC in Alberta.

• July 2025: I will be attending DLRL summer school organized by AMII in Alberta.

• December 2024: I will be attending NeurIPS 2024 in Vancouver.

• October 2024: I will attend the D3A 2.0 event in Nyborg, where I will co-organize the "Machine Learning Theory" session, as well as give a talk at the "Bayesian Methods for Uncertainty Quantification" session.

• May 2024: I will be attending AISTATS 2024 in Valencia.

• Feburary2024: I will attend the D3A 1.0 event in Nyborg, where I will co-organize the "Machine Learning Theory" session.

• October 2023: I will be co-organizing AI Research Moonshots Workshop at Pioneer Centre for Artificial Intelligence in Copenhagen.

• September 2023: I will be attending GenU 2023 in Copenhagen.

• September 2023: I will be participating EWRL 2023 in Brussels.

• April 2023: I will be attending AISTATS 2023 in Valencia.

• March 2023: I will be visiting CWI, Amsterdam, for a month.

• December 2022: I will be attending NeurIPS 2022 in New Orleans.

• November 2022: I will be visiting CWI, Amsterdam, for a month.

• July 2022: I will be attending COLT 2022 in London.

• April 2022: I will be visiting the statistics department of UCL, London, for two weeks.

• November 2021: I will be attending 1st NordicAIMeet in Oslo.

• October 2021: I will be visiting CWI, Amsterdam for a week.