Department Seminars
Upcoming Seminars
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Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yang Chen | Video Imputation and Prediction in Space Weather | May 20th, 2022 | |
| Keegan Korthauer | Methods for sparse and high-dimensional measurements of DNA methylation | May 13th, 2022 | |
| Jacob Bien | Tree-Based Aggregation in Statistical Learning | May 6th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Sivaraman Balakrishnan | Two methods for assumption-light inference | Apr 29th, 2022 | |
| Hongtu Zhu | Statistical Challenges and Opportunities in Two-sided Markets With application in Tech Business. | Apr 22nd, 2022 | |
| Colin Fogarty | Unifying Modes of Inference for Randomized Experiments | Apr 15th, 2022 | |
| Byol Kim | Black-box tests for algorithmic stability | Apr 8th, 2022 | |
| Po-Hsuan Cameron Chen | From Diagnosis to Prognosis: How Deep Learning is Changing Healthcare | Apr 1st, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Krishnakumar Balasubramanian | Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos | Mar 11th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Marco Ferreira | Objective Bayesian model selection for Gaussian hierarchical models with Besag's ICAR spatial random effects | Feb 25th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Ery Arias-Castro | On the Estimation of Distances with Applications to Positioning and Manifold Learning | Jan 28th, 2022 | |
| Nathan Kallus | Smooth Contextual Bandits | Jan 14th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Bayesian Models for Understanding Chromatin Structure in Single-cell Data | Dec 10th, 2021 | ||
| Debdeep Pati | Statistical and Algorithmic Foundations of Variational Inference | Dec 3rd, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Nicolas Garcia Trillos | On Adversarial Training, Perimeter Minimization, and Multimarginal Optimal Transport Problems | Nov 19th, 2021 | |
| Kristian Lum | Blackwell Seminar: Closer than they appear: A Bayesian Perspective on Individual-Level Heterogeneity in Risk Assessment | Nov 12th, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Sumit Mukherjee | Global Testing for Dependent Bernoullis | Oct 29th, 2021 | |
| Thomas Berrett | Optimal Rates for Independence Testing via U-Statistic Permutation Tests | Oct 22nd, 2021 | |
| Lihua Lei | Conformal Inference of Counterfactuals and Time-to-event Outcomes | Oct 15th, 2021 | |
| Fang Han | Rank Correlations | Oct 8th, 2021 |