Jun 7 2:00 pm - 3:00 pm Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.
Sep 19 3:30 pm - 4:30 pm A Statistical Framework for Private Personalized Federated Learning and Estimation
Sep 26 3:30 pm - 4:30 pm Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling
Oct 11 3:30 pm - 4:30 pm Domain Counterfactuals for Explainability, Fairness, and Domain Generalization
Nov 14 3:30 pm - 4:30 pm Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation
Feb 6 3:30 pm - 4:30 pm Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
Feb 20 3:30 pm - 4:30 pm Improved very sparse matrix completing using an intentionally randomized “asymmetric SVD”
Mar 12 11:00 am - 12:00 pm ADVANCING IMAGE RECONSTRUCTION AND RESTORATION THROUGH ROBUST SUPERVISED AND GENERATIVE MODELS
Mar 13 3:30 pm - 4:30 pm Exploring and Mitigating Safety Risks in Large Language Models and Generative AI
Mar 18 1:30 pm - 2:30 pm Training-free approaches for image inversion and editing using latent generative models
Apr 17 3:30 pm - 4:30 pm Canceled Rescheduling To Fall 2025 On the computation of Stackelberg and Nash equilibria and their variants