- Machine Learning applications for modeling neuropsychiatric disorders and injury in mice
Wednesday--September 4, 2019--Prof. Max Tischfield--Rutgers University - Detection Thresholds for Non-Parametric Tests Based on Geometric Graphs: The Curious Case of Dimension 8
Wednesday--September 11, 2019--Prof. Bhaswar Bhattacharya--University of Pennsylvania - Asympirical Analysis: Theory Informs Practice
Wednesday--September 18, 2019--Prof. Ping Ma--University of Georgia - Neyman-Pearson classification
Wednesday--September 25, 2019--Prof. Xin Tong--University of Southern California - Flexible network modeling: model selection and hierarchical communities
Wednesday--October 2, 2019--Prof. Tianxi Li--University of Virginia - Gaussian-Process Approximations for Big Data
Wednesday--October 9, 2019--Prof. Matthias Katzfuss--Texas A&M University - Stochastic Correlations for Modeling Joint Behaviour of Asset Prices
Wednesday--October 16, 2019--Prof. Laszlo Markus - Statistical guarantees for the Bayesian approach to inverse problems
Wednesday--October 23, 2019--Prof. Richard Nickl--University of Cambridge - Some Statistical Optimality Results in Deep Learning
Wednesday--October 30, 2019--Prof. Guang Cheng--Purdue University - Efficient and Optimal Tensor Regression via Importance Sketching
Wednesday--November 6, 2019--Prof. Anru Zhang--University of Wisconsin-Madison - Scalable Bayesian Inference and Summarization for Functional Data
Wednesday--November 13, 2019--Prof. Daniel Kowal--Rice University - For a Given Model What's the best Predictor that you can Compute in Five Minutes?
Wednesday--November 20, 2019--Prof. Jonathan Bradley--Florida State University - Scalable approximation of integrals using non-reversible methods
Wednesday--December 4, 2019--Prof. Alexandre Bouchard-Cote--University of British Columbia
