Seminars
Upcoming Seminars
| Speaker | Title (Click for details) | Time |
|---|---|---|
| Yang Liu | Fair Classification When Label Noise Presents | Oct 30th, 2020 3:30 pm |
| Simon Du | TBD | Nov 6th, 2020 3:30 pm |
| Jon A Wellner | *Joint with Biostatistics* - 2019-20 Norman Breslow Endowed Lecturer: Descriptive Statistics Meets Machine Learning? | Nov 12th, 2020 3:30 pm |
| Elena A. Erosheva | Blackwell Seminar: TBD | Nov 13th, 2020 3:30 pm |
| Yin Tat Lee | Differential Privacy and Bayesian Sampling | Nov 20th, 2020 3:30 pm |
| Sida Peng | TBD | Dec 4th, 2020 3:30 pm |
| Kenneth M. Rice | *Joint with Biostatistics* - 2019-20 Ross L. Prentice Lecture: TBD | Dec 10th, 2020 3:30 pm |
| TBD | Jan 5th, 2021 9:00 am | |
| TBD | Jan 8th, 2021 9:00 am | |
| TBD | Jan 12th, 2021 9:00 am | |
| TBD | Jan 15th, 2021 9:00 am | |
| TBD | Jan 19th, 2021 9:00 am | |
| TBD | Jan 22nd, 2021 9:00 am | |
| TBD | Jan 26th, 2021 9:00 am | |
| TBD | Jan 29th, 2021 9:00 am |
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Joshua Neil | Statistics, Graphs, and Finding Attackers in Computer Networks | Oct 16th, 2020 | |
| Youngjun Choe | Information Criterion for Boltzmann Approximation Problems | Oct 9th, 2020 | |
| Thomas R. Fleming | *Joint with Biostatistics* - Welcome Seminar | Oct 1st, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Vincent Roulet | Computational Complexity versus Statistical Performance on Sparse Recovery Problems | Jun 5th, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Hannah Director | Contour Models for Sea Ice Forecasting | May 29th, 2020 | |
| Richard Guo | Possible Causal Effects: Enumeration and Estimation | May 22nd, 2020 | |
| Reluctant Interaction Modeling | May 15th, 2020 | ||
| Iain Carmichael | Sparsity Structure Estimation for Multi-View Mixture Models | May 8th, 2020 | |
| Thomas S Richardson | An Interventional Approach to Causal Mediation Analysis | May 1st, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| ID-PRISM | Infectious Disease Prevention Research via Innovative Statistical Methods (ID-PRISM): Introduction and Ongoing COVID-19 Research | Apr 3rd, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Chun Wang | Learning Attribute Hierarchies from Data: Exploratory Approaches | Feb 28th, 2020 | |
| Cynthia Rush | Optimal SLOPE Power and False Positives Trade-off | Feb 21st, 2020 | |
| Shan Liu | Optimizing Healthcare Interventions and Incentives: Models and Insights for Depression and Influenza | Feb 14th, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yuqi Gu | Uncover Hidden Fine-Grained Scientific Information: Structured Latent Attribute Models | Jan 24th, 2020 | |
| Yaniv Romano | Reliability, Equity, and Reproducibility in Modern Machine Learning | Jan 21st, 2020 | |
| Vianey Leos Barajas | Hidden Markov Model Architectures for the Analysis of Ecological and Environmental Data | Jan 17th, 2020 | |
| Emilija Perkovic | Identifying Causal Effects from Observational Data | Jan 14th, 2020 | |
| Emma Pierson | Data Science Methods to Reduce Inequality and Improve Healthcare | Jan 10th, 2020 | |
| Paromita Dubbey | Fréchet Change Point Detection | Jan 7th, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Søren Wengel Mogensen | Graphical Modeling of Local Independence in Dynamical Systems | Nov 1st, 2019 |