Seminars
Upcoming Seminars
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Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yuansi Chen | Localization schemes and the mixing of hit-and-run | Dec 2nd, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Ting Ye | A Negative Correlation Strategy for Bracketing in Difference-in-Differences | Nov 18th, 2022 | |
| Rui Song | On statistical inference for sequential decision making | Nov 4th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Hyunseung Kang | A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data | Oct 28th, 2022 | |
| Armeen Taeb | Causal learning with unknown interventions: algorithms, guarantees, and connections to distributional robustness | Oct 21st, 2022 | |
| Dylan Small | Testing an Elaborate Theory of a Causal Hypothesis | Oct 14th, 2022 | |
| George Luta | On Optimal Correlation-Based Prediction | Oct 7th, 2022 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Daniela M Witten | Double dipping: problems and solutions, with application to single-cell RNA-sequencing data | Sep 30th, 2022 |
| 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 |