Decision Making with A.I.

We are looking for talented graduate students and postdocs with strong mathematical background and interests in optimization and machine learning. Check our Current Openings

We are running two exciting data science seminar series this fall with a fantastic slate of speakers. Check out detailed schedule below.

Online Seminar on Mathematical Foundations of Data Science, Fridays at 12pm CST.

iDS2 Seminar on Data Science and Dynamical Systems, Fridays at 2pm CST.

• 2021-08

  Niao gave a mini-course on Reinforcement Learning: Optimization and Dynamical Systems Perspectives at the EPFL Summer School on Data Science, Optimization, and Operations Research at Zinal. Please find more details and slides here.

• 2021-07

  Together with Agarwal, Du, Szepesvári, and Yang, we organized the ICML workshop on Reinforcement Learning Theory, July 24-25, virtual event.

• 2021-06

  Niao (joint with Bo Dai from Google Brain) gave lectures on Reconciling Reinforcement Learning: Optimization, Generalization, and Exploration at the EPFL & ETHZ Summer School on Foundations and Mathematical Guarantees of Data-driven Control. Please find the (8-hour) video recording here.

• 2021-01

  Our group has moved to ETH Zurich, Switerland!

• 2020-12

  Our group got six papers accepted to NeurIPS 2020! Check papers here.

• 2020-08

  We are exciting to be a part of the USDA-NIFA AI Institute on Next Generation Food Systems (AIFS, a joint effort lead by UC Davis, UC Berkeley, Cornell, and UIUC). Check news here.

• 2020-07

  Yingxiang graduated and started his next position as a research scientist at ByteDance in Seattle.

• 2020-06

  Niao gave a talk at the Virtual Seminar on Theory of RL on Understanding the Convergence of Reinforcement Learning Algorithms from Dynamical Systems Perspectives . Check the slide and video here.

• 2020-03

  Donghwan Lee started a faculty position at KAIST.

• 2020-01

  Niao is elected as the 2020-21 Beckman CAS Fellow by the Center for Avanced Studies at UIUC.