G. Wolfer organized the session “Stochastic Processes and Probabilistic Inference with Dependent Data” at EcoSta 2026.
AI Foundations Lab
The AI Foundations Lab is part of the Department of Electrical Engineering and Computer Science (EECS) at Tokyo University of Agriculture and Technology (TUAT).
We study the statistical foundations of artificial intelligence and machine learning. Our research is grounded in mathematical theory. We aim to understand learning processes quantitatively and establish provable guarantees for algorithms under more realistic assumptions about data.
We welcome applications from Ph.D. students and postdoctoral researchers. Learn about funding opportunities.
News
Our paper co-authored by G. Wolfer, M. C.H. Choi, and Y. Wang, “Geometry and Factorization of Multivariate Markov Chains with Applications to MCMC Acceleration and Approximate Inference,” has been accepted for publication in the SIAM/ASA Journal on Uncertainty Quantification.
G. Wolfer gave an invited talk at the ISBA Satellite Meeting 2026, “Information Geometry, Privacy and Monte Carlo.”
G. Wolfer gave an invited talk at IMS-APRM 2026.
Three fourth-year undergraduate students joined the lab.