Stochastics and Statistics Seminar - Spring 2021 - Eric Laber
Sample size considerations in precision medicine.
Stochastics And Statistics Seminar Spring 2021 Eric Laber
Sample size considerations in precision medicine. On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by...
Stochastics and Statistics Seminar - Spring 2021 - James Robins
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning.
Stochastics and Statistics Seminar - Spring 2021 - Thibaut Le Gouic
Sampler for the Wasserstein barycenter.
Stochastics and Statistics Seminar - Spring 2021 - Ann Lee
Likelihood-Free Frequentist Inference.
Stochastics and Statistics Seminar - Spring 2021 - Daniel Roy
Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization.
MSAM: Machine Learning and Statistics with Eric Laber
For Mathematics and
Dr Eric Laber
Dr Eric Laber
Stochastics and Statistics Seminar - Spring 2021 - Hilary Finucane
Prioritizing genes from genome-wide association studies.
2021 Stochastics and Statistics Seminar - Jerry Li
Faster and Simpler Algorithms for List Learning.
Stochastics and Statistics Seminar - Fall 2020 - Richard Nickl, University of Cambridge
Bayesian inverse problems, Gaussian processes, and partial differential equations.
Stochastics and Statistics Seminar - Alexandre d'Aspremont - ENS, CNRS
Naive Feature Selection: Sparsity in Naive Bayes Abstract: Due to its linear complexity, naive Bayes classification remains an ...
Friday Chats - Episode 2 Interview with Dr. Eric Laber
Kim Gervase, Executive Director of NC Science Olympiad interviews Dr.
Optimal treatment allocations in space and time for on-line control of an emerging...
Optimal treatment allocations in space and time for on-line control of an emerging infectious disease Speakers: