Causal Inference about Gun Violence
Neyman Seminar
Oct 9, 2019, 04:00 PM | 1011 Evans Hall
Dylan Small, University of Pennsylvania
Events
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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