Department Seminars
Upcoming Seminars
| Speaker | Title (Click for details) | Time |
|---|---|---|
| Soumik Pal | An overview of entropy-regularized optimal transport and Schrödinger bridges | May 23rd, 2025 3:30 pm |
| Jeff Leek | Building and using AI engines – what do we do when we’ve machine learned everything? | May 30th, 2025 3:30 pm |
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Shili Lin | Sparse Estimation in Finite Mixtures of Varying Coefficient and Survival Regression Models | May 16th, 2025 | |
| Mine Dogucu | Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses | May 2nd, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Francesco Stingo | Bayesian approaches to heterogeneous Graphical Models | Apr 25th, 2025 | |
| Andrea Rotnitzky | Towards a Unified Theory for Semiparametric Data Fusion Using Individual-Level Data (Joint work with Ellen Graham and Marco Carone) | Apr 18th, 2025 | |
| Paul Rosenbaum | Joint Seminar with Biostatistics: Being Realistic About Unmeasured Biases in Observational Studies | Apr 10th, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Rebecca Willett | Off-the-shelf Algorithmic Stability | Feb 28th, 2025 | |
| Kengo Kato | Entropic optimal transport and Gromov-Wasserstein alignment | Feb 14th, 2025 | |
| Paul Gustafson | Bayesian Inference when Parameter Identification is Lacking: A Narrative Arc across Applications, Methods, and Theory | Feb 7th, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Eun Yi Chung | Randomization Inference on Policy Assignments | Jan 31st, 2025 | |
| Eli Ben-Michael | Estimating causal effects of natural language from text experiments | Jan 24th, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Min-ge Xie | Fisher Inversion, Repro Samples Method, and Principled Random Forests | Nov 22nd, 2024 | |
| Hans-Georg Mueller | Distance Profiles and Conformal Inference for Random Objects | Nov 8th, 2024 | |
| Persi Diaconis | Joint Seminar with MATH & CSE: The Value (and Pitfalls) of Proof | Nov 1st, 2024 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Vasilis Syrgkanis | Source Condition Double Robust Inference on Functionals of Inverse Problems | Oct 25th, 2024 | |
| Cynthia Rudin | Blackwell Seminar: Simpler Machine Learning Models for a Complicated World | Oct 18th, 2024 | |
| 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 |