- Generalized Grade of Membership Models: Fast and Sharp Estimation under Local Dependence. Wednesday, November 20th, 2024 -- Yuqi Gu, Columbia University
- Back to the Basics: Residuals and Diagnostics for Generalized Linear Models. Wednesday, November 13th, 2024 -- Heping Zhang, Yale University
- Causal discovery: optimal algorithms and false positive error control. Wednesday, November 6th, 2024 -- Armeen Taeb, University of Washington
- Optimal policy evaluation using kernel-based temporal difference methods. Wednesday, October 30th, 2024 -- Yaqi Duan, New York University
- Machine learning for geospatial data with explicit modeling of spatial correlations. Wednesday, October 23rd, 2024 -- Abhirup Datta, Johns Hopkins University
- Stochastic Hidden Convex Optimization and Its Applications. Wednesday, October 16th, 2024 -- Yifan Hu, ETH Zurich
- Statistical Learning with Dependent Data. Wednesday, October 9th, 2024 -- Sumanta Basu, Cornell University
- A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Optimization. Wednesday, October 2nd, 2024 -- George Michailidis, University of California Los Angeles
- Regressing Covariance Matrix on Vector Covariates for Single Cell Co-expression Analysis. Wednesday, September 25th, 2024 -- Hongzhe Li, University of Pennsylvania
- A Hierarchical Linear Model for Cryo-Em Analysis. Wednesday, September 18th, 2024 -- I-Ping Tu, Academia Sinica
- Asymmetric canonical correlation analysis of Riemannian and high-dimensional data with an application to brain-behavior relationships. Wednesday, September 11th, 2024 - Eardi Lila, University of Washington
- Efficient Analysis of latent spaces in heterogenous networks. Wednesday, September 4th, 2024 -- Yinqiu He, University of Wisconsin-Madison
