Seminars
2019 Fall Seminars
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- 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