Seminars
Upcoming Seminars
No upcoming events at this moment. Check back for more!
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| The Folded Concave Laplacian Spectral Penalty Learns Block Diagonal Sparsity Patterns with the Strong Oracle Property | Jun 4th, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Irina Gaynanova | Truncated Latent Gaussian Copula Model for Zero-Inflated Data | May 28th, 2021 | |
| Shubhadeep Chakraborty | High-dimensional Change-point Detection Using Generalized Homogeneity Metrics | May 21st, 2021 | |
| Trevor Campbell, Alex Luedtke | Joint Colloquium with UBC & UW | May 14th, 2021 | |
| Eardi Lila | Functional Random-Effects Modeling of Brain Shape and Connectivity | May 7th, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Stephen Walker | Martingale Posterior Distributions | Apr 30th, 2021 | |
| Stephen Bates | Distribution-Free, Risk-Controlling Prediction Sets | Apr 23rd, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Alexander Giessing | De-biased Inference on Heterogeneous Quantile Treatment Effects in High Dimensions | Mar 9th, 2021 | |
| Jacob Steinhardt, Ema Perkovic | Joint Colloquium with UC Berkeley & UW | Mar 8th, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Vincent Roulet | From Statistical Bounds to Optimization Complexity in Sparse Recovery Problems | Feb 26th, 2021 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Kenneth M. Rice | *Joint with Biostatistics* - 2019-20 Ross L. Prentice Lecture: Striving for Balance: How to View Statistical Methods as Tradeoffs | Dec 10th, 2020 | |
| Sida Peng | Estimating the Effects of a New Technology using a Duration Model for Staggered Adoption (with Aureo de Paula) | Dec 4th, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yin Tat Lee | Differential Privacy and Bayesian Sampling | Nov 20th, 2020 | |
| Elena A. Erosheva | Blackwell Seminar: What do we know about racial disparities in NIH peer review? | Nov 13th, 2020 | |
| Jon A Wellner | *Joint with Biostatistics* - 2019-20 Norman Breslow Endowed Lecture: Descriptive Statistics Meets Machine Learning? | Nov 12th, 2020 | |
| Simon Du | On Reinforcement Learning with Large State Space and Long Horizon | Nov 6th, 2020 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Yang Liu | Fair Classification When Label Noise Presents | Oct 30th, 2020 | |
| 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 |