Upcoming Events
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Events Archive
Can learning theory resist deep learning?
Machine Learning for the Sciences
Convergence Rates of Stochastic Algorithms in Nonsmooth Nonconvex Optimization
Location:
B205 Engineering Quadrangle
Speaker(s):
Dmitriy Drusvyatskiy
University of Washington
Convergence Rates of Stochastic Algorithms in Nonsmooth Nonconvex Optimization
Tags:
CSML Seminar Series
Exploration by Optimization in Partial Monitoring
Location:
Sherrerd 101
Speaker(s):
Csaba Szepesvari
Professor of Computing Science, University of Alberta
Tags:
CSML Seminar Series
Randomized Methods for Low-Rank Tensor Decomposition in Unsupervised Learning
Location:
214 Fine Hall
Speaker(s):
Tamara Kolda
Sandia National Laboratories
Tags:
CSML Seminar Series
Algorithm and Statistical Inference for Recovery of Discrete Structure
Location:
Sherrerd 101
Speaker(s):
Chao Gao
Assistant Professor, Statistics University of Chicago
Tags:
CSML Seminar Series
Optimizing for Fairness in ML
Location:
Sherrerd 101
Speaker(s):
Elisa Celis
Assistant Professor of Statistics and Data Science, Yale University
Tags:
CSML Seminar Series
Machine Learning for the Sciences
Word Embeddings: What works, what doesn’t, and how to tell the difference for applied research
Location:
Corwin Hall, Room 127
Speaker(s):
Arthur Spirling
New York University
Tags:
CSML Seminar Series