- Speeding Up and Guiding Diffusion Language Models. Wednesday, May 6th, 2026 -- Sujay Sanghavi, University of Texas at Austin
- Some Aspects of Statistical Deep Learning. Wednesday, April 22nd, 2026 -- Tapabrata (Taps) Maiti, NSF
- The Binary Iterative Hard Thresholding Algorithm. Wednesday, April 8th, 2026 -- Arya Mazumdar, UC - San Diego
- Unifying regression-based and design-based causal inference in time-series experiments and crossover experiments. Wednesday, March 25th, 2026 -- Peng Ding, UC - Berkeley
- Transformers Meet In-Context Learning: A Universal Approximation Theory. Wednesday, March 11th, 2026 -- Yuxin Chen, University of Pennsylvania
- Statistical Inference for Misspecified Contextual Bandits. Wednesday, March 4th, 2026 -- Yongyi Guo, University of Wisconsin
- Estimating Weak Spikes by Counting Cycles. Thursday, February 26th, 2026 -- Tracy Ke, Harvard University
