Past Events

Machine learning and its application in industry: science, e-commerce and more

Industrial Problems Seminar

Yiran Li (Microsoft)

The Wasserstein barycenter problem with signed weights

Data Science Seminar

Matt Jacobs (UC Santa Barbara)

From The Three-Body Problem to Quantitative Finance

Industrial Problems Seminar

Chen Shi (Morgan Stanley)

Federated Reinforcement Learning: Statistical, Communication and Computation Trade-offs

Data Science Seminar

Yuejie Chi (Carnegie Mellon)

Nonlinear inverse problems in semiconductor manufacturing

Industrial Problems Seminar

Christopher A. Wong

On Provable Posterior Sampling with Denoising Oracles

Data Science Seminar

Joan Bruna (NYU Courant Institute)

Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems

Data Science Seminar

Vakhtang Poutkaradze (University of Alberta)

Reduced-order moment closure models for uncertainty quantification and data assimilation

Data Science Seminar

Di Qi (Purdue)

Feature learning and "the linear representation hypothesis" for monitoring and steering LLMs

Data Science Seminar

Misha Belkin (UCSD)

Finding the Match: The Data & Science Behind Stem Cell Donor Selection for Blood Cancer Patients

Industrial Problems Seminar

Abeer Madbouly (NMDP)