12-Jan John Cioffi Stanford University
Next-Generation Communication/Artificial-Intelligence Challenges
19-Jan Krishna Balasubramanian UC Davis
Recent Advances in Non-log-concave and Heavy-tailed Sampling
26-Jan Lizhong Zheng MIT
Learning with Feature Geometry
02-Feb Vasilis Syrgkanis Stanford
Adversarial machine learning and instrumental variables for flexible causal modeling
23-Feb Ziv Goldfeld Cornell University
Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity
03-Mar Caroline Uhler MIT
Causal Representation Learning – A Proposal
09-Mar Lester Mackey Microsoft Research
Kernel Thinning and Stein Thinning
16-Mar Ilan Shomorony UIUC
An Information Theory for Out-of-Order Information: Applications in DNA Data Storage and Beyond
23-Mar Nika Haghtalab UC Berkeley
Looking beyond the Worst-Case Adversaries in Machine Learning