"Keep being coupled to other people, keep spreading your ideas, because the sum of all of us together, coupled, is greater than our own parts." - Hasson U, 2016
We are interested in statistics + AI. More recently, driven by challenges in the industry sector, we are interested in
Trustworthy AI: Algorithmic adaptivity, ensemble learning, invariant learning;
Efficient generative AI: Priors as regularization, 3D, video, and multimodal generation and editting;
Foundations of AGI: Next-generation Statistics, beyond large-sample asymptotics;
AI for tech, finance, and science: Algorithmic trading, personalized advertisement, material science and engineering.
We no longer have time to run reading seminars. We used to run the following reading seminars:
Fall 2022 and Winter 2023: Learning + X
Winter and Summer 2022: RL + X
Fall 2021: RMT4ML
Winter 2021: RSL and SL
Fall 2020: RA and RL
Fall 2018: High Dimensional Inference
Winter 2018: Statistical Machine Learning
Reading seminar tips (from Stanford ML group)