The weekly SILO Seminar Series is made possible through the generous support of the 3M Company and its Advanced Technology Group


with additional support from the Analytics Group of the Northwestern Mutual Life Insurance Company

Northwestern Mutual

Seminars are usually Wednesdays at 12:30PM in the Orchard room (3280) at the Wisconsin Institute for Discovery Building and lunch is provided unless otherwise noted. Take the elevators behind Aldo's Cafe.

Seminars feature graduate students and post-docs presenting in half hour blocks. When we are fortunate to host external visitors, we slot the entire hour for a presentation. We also occasionally have presentations by UW professors who want to share new and exciting research ideas and open problems.

Current Semester (Spring 2018)


There are no more scheduled upcoming talks for this semester.


May 11
12:30 PM
A Marketplace for Data: An Algorithmic Solution
by Munther Dahleh ( )
May 2
12:30 PM
Optimal Mass Transport: Theory, Algorithm, and Applications
by Yongxin Chen ( Iowa State University )
Apr 25
12:30 PM
Quadratic assignment, semidefinite programming, and graph neural networks.
by Soledad Villar ( NYU )
Apr 18
12:30 PM
T Deep Learning with Dense Connectivity
by Kilian Quirin Weinberger ( Cornell )
Apr 11
12:30 PM
Euclid’s bag of tricks for moving points and unlabeled distances
by Ivan Dokmanic ( University of Illinois )
Apr 4
12:30 PM
Analysis of Gradient Descent Algorithms
by Yazhen Wang ( )
Mar 28
12:30 PM
Mar 21
12:30 PM
Characterizing implicit bias of optimization in terms of optimization geometry
by Suriya Gunasekar ( Toyota Technology Institute at U of Chicago )
Mar 14
12:30 PM
Subset selection with sparse matrices
by Alberto Del Pia ( )
Mar 7
12:30 PM
Machine Teaching: Towards more realistic student models
by Adish Singla ( Max Planck Institute )
Feb 28
12:30 PM
From Dirty Data to Structured Prediction
by Theo Rekatsinas ( UW–Madison )
Feb 21
12:30 PM
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery & Adaptive Sampling for Coarse Ranking
by Tyler Maunu & Sumeet Katariya ( )
Feb 14
12:30 PM
Sequential Bayesian inference via low-dimensional couplings
by Youssef M Marzouk ( MIT )
Feb 7
12:30 PM
Information theoretic perspectives on learning algorithms
by Varun Jog ( )
Jan 24
12:30 PM
Poisson inverse and denoising problems in atmospheric lidar imaging & PULasso: High-dimensional variable selection with presence-only data
by Hyebin Song & Willem Marais ( )
Jan 17
12:30 PM
Spectral methods for unsupervised ensemble learning and latent variable models
by Ariel Jaffe ( Weizmann Institute )

Previous Semesters