G. Wolfer organized the session “Stochastic Processes and Probabilistic Inference with Dependent Data” at EcoSta 2026.
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.
Our paper co-authored by G. Wolfer and S. Watanabe, “Characterization of Exponential Families of Lumpable Stochastic Matrices,” has been accepted for publication in Information Geometry.
The lab officially launched.