Department Seminars
Upcoming Seminars
| Speaker | Title (Click for details) | Time |
|---|---|---|
| Cynthia Rudin | Blackwell Seminar: Simpler Machine Learning Models for a Complicated World | Oct 18th, 2024 3:30 pm |
| Vasilis Syrgkanis | Source Condition Double Robust Inference on Functionals of Inverse Problems | Oct 25th, 2024 3:30 pm |
| Persi Diaconis | Joint Seminar with MATH & CSE: The Value (and Pitfalls) of Proof | Nov 1st, 2024 3:30 pm |
| Hans-Georg Mueller | Distance Profiles and Conformal Inference for Random Objects | Nov 8th, 2024 3:30 pm |
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yanqin Fan | Partial Identification in Moment Models with Incomplete Data via Optimal Transport | Oct 11th, 2024 | |
| Antonio Linero | Topics in Bayesian Machine Learning for Causal Inference | Oct 4th, 2024 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Kai Zhang | BET and BELIEF | May 24th, 2024 | |
| Kevin Lin | Tilted-CCA: Quantifying common and distinct information in multi-modal single-cell data via matrix factorization | May 10th, 2024 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Selective Inference: Approaches & Recent Developments | Apr 12th, 2024 | ||
| Gongjun Xu | Covariate-Adjusted Generalized Factor Analysis with Application to Testing Fairness | Apr 5th, 2024 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Alina Kuvelkar | Connecting the Dots: A Basic Introduction to Networks in Statistics | Feb 20th, 2024 | |
| Yun Wei | Parameter Estimation in Finite Mixture Models | Feb 16th, 2024 | |
| Zoraida Fernandez Rico | Fine bounds on covariance estimation | Feb 15th, 2024 | |
| Anne Wagner | A Review of Hypothesis Testing and Type I and Type II Errors + The Negative Impacts of Implementing Expert Systems | Feb 14th, 2024 | |
| Statistical Inference and Machine Learning with Regularized Optimal Transport | Feb 13th, 2024 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Claire Donnat | Sparse topic modeling via spectral decomposition and thresholding | Nov 3rd, 2023 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Forrest Crawford | COVID-19 transmission models in the real world: models, data, and policy | May 19th, 2023 | |
| Kayvan Sadeghi | Axiomatization of Interventional Probability Distributions | May 12th, 2023 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Monica Alexander | Bayesian demography: a brief history, recent applications, and future directions | Apr 28th, 2023 | |
| Subhashis Ghoshal | Coverage of credible intervals under multivariate monotonicity | Apr 21st, 2023 |