Virtual – Page 6 – SILO

Brown Bag Lunch

Talk postponed to 12/15/2021 Brown Bag lunch discussion instead.

Towards Data Efficient Monte Carlo Estimates in Reinforcement Learning

Josiah Hanna
University of Wisconsin–Madison

Dictionary Learning from dependent data samples

Hanback Lyu
University of Wisconsin–Madison

Learning from preferences and labels

Aarti Singh
Carnegie Mellon University

Subspace cluster with missing data via integer programming

Jeff Linderoth
University of Wisconsin–Madison

New representer theorems for inverse problems and machine learning

Michael Unser
EPFL

Feedback Coding for Efficient Interactive Machine Learning

Greg Canal
University of Wisconsin–Madison

Phylogenomics: “Inverting” Random Trees

Sebastien Roch
University of Wisconsin–Madison

Multiclass and Multi-Label Learning with General Losses

Shivani Agarwal
University of Pennsylvania