- Minimax optimal causal inference in high dimensions. Wednesday, November 4th, 2026 -- Edward Kennedy, Carnegie Mellon University
- The Surprising Power of Simple Algorithms for Sparse PCA. Wednesday, October 28th, 2026 -- Purnamrita Sarkar, University of Texas at Austin
- Fast and Accurate Spectral Methods for Irregularly Sampled Gaussian Processes. Thursday, October 22nd, 2026 -- Chris Geoga, University of Wisconsin
- Degree Normalization in Spectral Clustering. Wednesday, October 21st, 2026 -- Ning Hao, University of Arizona
- The Blessing of Heterogeneity in Federated Reinforcement Learning. Wednesday, October 14th, 2026 -- Yuejie Chi, Yale University
- Causal Inference with Video Features as Treatments. Wednesday, October 7th, 2026 -- Kosuke Imai, Harvard University
- Causal Effect Estimation using Proxy Variables. Tuesday, October 6th, 2026 -- Arthur Gretton, University College London
- Meta Fusion: A Unified Framework For Multimodal Fusion with Adaptive Mutual Learning. Wednesday, September 30th, 2026 -- Annie Qu, UC - Santa Barbara
- Classification and diffusion-induced neural density estimators and simulators for generative AI. Wednesday, September 23rd, 2026 -- Jianqing Fan, Princeton University
- From Thomas Bayes to Big Data: On the feasibility of being a subjective Bayesian. Wednesday, September 16th, 2026 -- Yaacov Ritov, University of Michigan
- Statistical Analysis of Synthetic Data with Verification for Fine-Tuning. Wednesday, September 9th, 2026 -- Heejune Sheen, Yale University
