Past Events

Between Research and Reality: A Industrial Machine Learning Practitioner’s Point of View

Industrial Problems Seminar

Tianyi Mao (Helm.ai)

Large Data Limits and Scaling Laws of t-SNE

Data Science Seminar

Adam Pickarski (North Carolina State University)

Intelligent Sampling Strategy for Online Monitoring of Complex Systems

Industrial Problems Seminar

Honghan Ye (Solventum)

Inferring Manifolds from Noisy Data: Non-Parametric Estimation and Random Walks in Shape Space

Data Science Seminar

Shira Faigenbaum Golovin (Duke University)

Nearly Linear Sparsification of Lp Subspace Approximation

Data Science Seminar

David Woodruff (Carnegie Mellon)

From Sabermetrics to Statcast

Industrial Problems Seminar

Dane Sorensen (Minnesota Twins)

A PDE-based model-free algorithm for Continuous-time Reinforcement Learning

Data Science Seminar

Yuhua Zhu (UCLA)

Generative AI for the statistical computation of fluids

Data Science Seminar

Samuel Lanthaler (Caltech)

Transitioning from Professor to Data Scientist

Industrial Problems Seminar

Harini Chandramouli (NextEra Energy)

Theory for diffusion models

Data Science Seminar

Sitan Chen (Harvard)