Sep 7 3:30 pm - 5:00 pm On the Emergence of Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks
Sep 22 3:30 pm - 5:00 pm Integrated Sensing and Communication: aspects from Information Theory, Communication Theory, and Machine Learning
Sep 28 3:30 pm - 5:00 pm Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Oct 12 3:30 pm - 5:00 pm Theoretical Characterization of Forgetting and Generalization of Continual Learning
Oct 26 3:30 pm - 5:00 pm Breaking the Sample Size Barrier in Reinforcement Learning via Model-Based Algorithms
Nov 2 3:30 pm - 5:00 pm Overparameterization and Global Optimality in Nonconvex Low-Rank Matrix Estimation and Optimization