Seminar 217, Risk Management: Interpretable proximate factors for large dimensions12:30-2 p.m.
Large deviations for two time-scale jump-diffusions and Markov chain models3:10-4 p.m.
Applied Statistics at Tesla4-5 p.m.
Scaling limits for percolated random planar maps3:10-4 p.m.
Seminar 217, Risk Management: Digitally-driven change in the insurance industrydisruption or transformation?12:30-2 p.m.
Testing for two-stage experiments in the presence of interference4-5 p.m.
Low-temperature localization of directed polymers3:10-4 p.m.
Weina Wang- Delay Bounds And Asymptotics In Cloud Computing Systems3:30-5 p.m.
Recent Advances in Algorithmic High-Dimensional Robust Statistics4-5 p.m.
Seminar 217, Risk Management: Solving the curse of dimensionality problem in multi-asset-class risk models12:30-2 p.m.
Dr. Aaron McKenna, Department of Genome Sciences, University of Washington4-5 p.m.
Dr. Mingfu Shao, Department of Computational Biology, Carnegie Mellon University4-5 p.m.
GraphXD Seminar: Vector Representations of Graphs and the Maximum Cut Problem4-5:30 p.m.
Markovian Solutions to Scalar Conservation Law3:10-4 p.m.
Algorithmic Regularization in Over-parameterized Matrix Recovery and Neural Networks with Quadratic Activations4-5 p.m.