Systems Information Learning Optimization (SILO)

Weekly Seminar Series


Seminars are usually Wednesdays at 12:30PM in the 3rd floor teaching lab at the WID 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 2015)

Upcoming

Mar 4
12:30 PM
Information Theory in Network Coding (Nan), and Algebraic Approaches to the Belgian Chocolate Problem (Charles)
by Ting-Ting Nan and Zach Charles
Held at the Forum (first floor of WID)
Mar 11
12:30 PM
Subspace Clustering with Ordered Weighted L1 Minimization
by Ulas Ayaz ( ICERM, Brown University )
Mar 18
12:30 PM
Santanu Dey
Mar 25
12:30 PM
Ioannis Mitliagkas
Apr 8
12:30 PM
Amitabh Basu
Apr 15
12:30 PM
Karl Rohe
Apr 22
12:30 PM
Gérard P. Cornuéjols
Apr 29
12:30 PM
Laura Sanita
May 6
12:30 PM
Garvesh Raskutti

Completed

Feb 25
12:30 PM
Center-Points: A Link Between Discrete Geometry and Optimization
by Timm Oertel ( Post-doc at Institut für Operations Research Departement Mathematik, Departement Mathematik, Switzerland )
Feb 18
12:30 PM
Model Inversion and other Threats in Machine Learning
by Tom Ristenpart ( Prof., Dept. of Computer Science )
Feb 11
12:30 PM
Some tools for studying big state spaces
by Ryan Budney ( Prof., University of Victoria, British Columbia, Canada )
Feb 4
12:30 PM
Have you heard the good news about L^p graphons?
by Jordan Ellenberg ( Prof., Dept. of Mathematics )
Jan 28
12:30 PM
Polyhedral results on the stable set problem and on half-integral polytopes
by Carla Michini ( Post-doc at WID )
Jan 21
12:30 PM
Simultaneous Model Selection and Learning through Parameter-free Stochastic Gradient Descent
by Francesco Orabona ( Senior Research Scientist, Yahoo! Labs NY )
Jan 14
12:30 PM
From trees to seeds: on the inference of the seed from large random trees
by Miklos Z. Racz ( Dept. of Statistics, UC-Berkerly )

Previous Semesters