Causal Inference about Gun Violence Neyman Seminar Oct 9, 2019, 04:00 PM | 1011 Evans Hall Dylan Small, University of Pennsylvania
Graphons: From Graph Limits to Modeling and Estimation of Sparse Networks at Scale Neyman Seminar Oct 7, 2019, 04:00 PM | BIDS Room Doe Library Christian Borgs, Microsoft Research
Overlapping Clustering Models, and One (class) SVM to Bind Them All Neyman Seminar Sep 25, 2019, 04:00 PM | 1011 Evans Hall Purnamrita Sarkar, UT Austin
Regression analysis of longitudinal data with omitted asynchronous longitudinal covariate Neyman Seminar Sep 18, 2019, 04:00 PM | 1011 Evans Hall Hongyuan Cao, Florida State University
What do we know about how to make good predictions? Neyman Seminar Sep 11, 2019, 04:00 PM | 1011 Evans Hall Danny Hernandez, OpenAI
From correlation to causation — measuring ad effectiveness at scale Neyman Seminar Apr 17, 2019, 04:00 PM | 1011 Evans Hall Tamara Greasby, The Trade Desk
Renewable Estimation and Incremental Inference in Generalized Linear Models with Streaming Data Neyman Seminar Apr 10, 2019, 04:00 PM | 1011 Evans Hall Peter Song, University of Michigan
Tajima coalescent Neyman Seminar Apr 2, 2019, 04:00 PM | 141 McCone Hall Julia Palacios, Stanford University
Facebook Disaster Maps: Aggregate Insights for Crisis Response and Recovery Neyman Seminar Mar 20, 2019, 04:00 PM | 1011 Evans Hall Shankar Iyer, Facebook
More Data, More Problems: What Society Needs from the Statistical and Data Sciences Neyman Seminar Mar 13, 2019, 04:00 PM | 1011 Evans Hall Brent Durbin, Smith College
Towards honest inference from real-world healthcare data Neyman Seminar Mar 6, 2019, 04:00 PM | 1011 Evans Hall David Madigan, Columbia University
Mean Estimation with Sub-Gaussian Rates in Polynomial Time Neyman Seminar Feb 27, 2019, 04:00 PM | 1011 Evans Hall Sam Hopkins, UC Berkeley
Statistics on Shape Data: Correcting an Asymptotic Bias in Template Shape Estimation Neyman Seminar Feb 20, 2019, 04:00 PM | 1011 Evans Hall Nina Miolane, Stanford University
Statistical inference for infectious disease modeling Neyman Seminar Feb 4, 2019, 04:00 PM | 1011 Evans Hall Po-ling Loh, University of Wisconsin-Madison
The Stratified Micro-randomized Trial Design: Sample Size Considerations for Testing Nested Causal Effects of Time-varying Treatment Neyman Seminar Jan 30, 2019, 04:00 PM | 1011 Evans Hall Walter Dempsey, Harvard University
Support points – a new way to reduce big and high-dimensional data Neyman Seminar Jan 28, 2019, 04:00 PM | 1011 Evans Hall Simon Mak, Georgia Institute of Technology
Sensitivity Analysis in Observational Research: Introducing the E-Value Neyman Seminar Nov 26, 2018, 12:00 PM | 1011 Evans Hall Tyler VanderWeele, Harvard School of Public Health
Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods Neyman Seminar Nov 14, 2018, 04:00 PM | 1011 Evans Hall Paul Grigas, UC Berkeley
Why Deep Learning Works: Traditional and Heavy-Tailed Implicit Self-Regularization in Deep Neural Networks Neyman Seminar Nov 7, 2018, 04:00 PM | 1011 Evans Hall Michael W. Mahoney, UC Berkeley
Safe Learning in Robotics Neyman Seminar Oct 24, 2018, 04:00 PM | 1011 Evans Hall Claire Tomlin, UC Berkeley
Learning in Google Ads, Machines and People Neyman Seminar Oct 17, 2018, 04:00 PM | 1011 Evans Hall Niall Cardin, Google
To persist or not to persist? Neyman Seminar Oct 10, 2018, 04:00 PM | 1011 Evans Hall Sebastian Schreiber, UC Davis
Statistical challenges in casualty estimation Neyman Seminar Oct 3, 2018, 04:00 PM | 1011 Evans Hall Kristian Lum, Human Rights Data Analysis Group
Unraveling Controversy on Vexed Environmental Risks Neyman Seminar Sep 26, 2018, 04:00 PM | 1011 Evans Hall Jeroen P. van der Sluijs, University of Bergen and Utrecht University
Correcting Bias in Eigenvectors of Financial Covariance Matrices Neyman Seminar Sep 19, 2018, 04:00 PM | 1011 Evans Hall Alex Papanicolaou, UC Berkeley