How to estimate the mean of a random vector? Neyman Seminar Sep 12, 2018, 04:00 PM | 1011 Evans Hall Gabor Lugosi, Pompeu Fabra University
AdaPT: An interactive procedure for multiple testing with side information Neyman Seminar Sep 5, 2018, 04:00 PM | 1011 Evans Hall Will Fithian, UC Berkeley
Stochastic Gradient Descent: Strong convergence guarantees -- without parameter tuning Neyman Seminar Aug 30, 2018, 04:00 PM | 60 Evans Hall Rachel Ward, UT Austin
Likelihood Ratio Test for Stochastic Block Models with Bounded Degrees Neyman Seminar Aug 29, 2018, 04:00 PM | 1011 Evans Hall Yang Feng, Columbia University
Rerandomization and Regression Adjustment Neyman Seminar Aug 22, 2018, 04:00 PM | 1011 Evans Hall Peng Ding, UC Berkeley
Global Testing Against Sparse Alternatives under Ising Models Neyman Seminar Apr 18, 2018, 04:00 PM | 1011 Evans Hall Rajarshi Mukherjee, UC Berkeley
Solving composite minimization problems arising in statistics and engineering, with applications to phase retrieval Neyman Seminar Apr 3, 2018, 04:00 PM | 60 Evans Hall John C. Duchi, Stanford University
A Unified Theory of Regression Adjustment for Design-based Inference Neyman Seminar Mar 21, 2018, 04:00 PM | 1011 Evans Hall Joel Middleton, UC Berkeley
Mediation analysis for count and zero-inflated count data Neyman Seminar Mar 14, 2018, 04:00 PM | 1011 Evans Hall Jing Cheng, UCSF
Statistics and Data Science: the Prediction and Modeling Cultures Neyman Seminar Mar 5, 2018, 04:00 PM | 102 Moffitt Undergraduate Library Roderick Little, University of Michigan
Algorithmic Regularization in Over-parameterized Matrix Recovery and Neural Networks with Quadratic Activations Neyman Seminar Feb 28, 2018, 04:00 PM | 1011 Evans Hall Tengyu Ma, Facebook AI Research
Recent Advances in Algorithmic High-Dimensional Robust Statistics Neyman Seminar Feb 21, 2018, 04:00 PM | 1011 Evans Hall Ilias Diakonikolas, USC
Testing for two-stage experiments in the presence of interference Neyman Seminar Feb 15, 2018, 04:00 PM | 1011 Evans Hall Guillaume Basse, Harvard University
Applied Statistics at Tesla Neyman Seminar Feb 7, 2018, 04:00 PM | 1011 Evans Hall Swupnil Sahai, Tesla (Speaker)
Statistical Inference for Finite Alphabet Structures Neyman Seminar Jan 31, 2018, 04:00 PM | 1011 Evans Hall Merle Behr, University of Göttingen
Provably Secure Machine Learning Neyman Seminar Jan 29, 2018, 04:00 PM | 1011 Evans Hall Jacob Steinhardt, Stanford University
Understanding rare events in models of statistical mechanics Neyman Seminar Jan 22, 2018, 04:00 PM | 1011 Evans Hall Shirshendu Ganguly, UC Berkeley
From stopping times to “spotting” times : a new framework for multiple testing Neyman Seminar Jan 17, 2018, 04:00 PM | 1011 Evans Hall Aaditya Ramdas, UC Berkeley
Statistical Inference for Stochastic Approximation and Online Learning via Hierarchical Incremental Gradient Descent Neyman Seminar Dec 6, 2017, 04:00 PM | 1011 Evans Hall Weijie Su, University of Pennsylvania
Causal Inference in the Presence of Interference Neyman Seminar Nov 29, 2017, 04:00 PM | 1011 Evans Hall Michael Hudgens, UNC-Chapel Hill
Probing neural circuits with shaped light Neyman Seminar Nov 15, 2017, 04:00 PM | 1011 Evans Hall Na Ji, University of California, Berkeley
Causal inference with interfering units for cluster and population level intervention programs Neyman Seminar Nov 8, 2017, 04:00 PM | 1011 Evans Hall Fabrizia Mealli, University of Florence
Leave out estimation of variance components Neyman Seminar Nov 1, 2017, 04:00 PM | 1011 Evans Hall Patrick Kline, University of California, Berkeley
Humans Enter the Robot Equation Neyman Seminar Oct 18, 2017, 04:00 PM | 1011 Evans Hall Anca Dragan, University of California, Berkeley
Split-Sample Strategies for Avoiding False Discoveries Neyman Seminar Oct 11, 2017, 04:00 PM | 1011 Evans Hall Michael Anderson, University of California, Berkeley