Systems Information Learning Optimization (SILO)

Weekly Seminar Series


Seminars are usually Tuesday 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 2013)

Upcoming

There are no more scheduled upcoming talks for this semester.

Completed

May 14
12:30 PM
Adaptive sensing of sparse signals and spectra
by Dennis Wei ( Post-Doc EECS U. Michigan )
May 7
12:30 PM
Modeling and diagnosing the exercise of market power in the wholesale electricity industry | Active Learning on Graphs
by Jesse Holzer | Gautam Dasarathy ( Math Grad Student | ECE Grad Student )
Apr 30
12:30 PM
Efficient Compressed Sensing with L0 Projections
by Ping Li ( Assistant Professor, Statistics, Cornell )
Apr 23
12:30 PM
Recovery of Simultaneously Structured Models with Limited Information
by Maryam Fazel ( Professor of EE, Univ. of Wash. )
Apr 16
12:30 PM
Quantum Compressed Sensing
by Yazhen Wang ( Professor, Statistics, UW-Madison )
Apr 9
12:30 PM
Metric spaces and maps between them
by Tullia Dymarz ( Assistant Professor, Math, UW-Madison )
Apr 2
12:30 PM
Local Convergence of GROUSE | Multiplicative-forest continuous-time disease prediction from Electronic Health Records
by Stephen Wright | Jeremy Weiss ( CS Professor | CS Grad Student )
Mar 12
12:30 PM
Privacy-assurances in multiple data-aggregation transactions
by Parmesh Ramanathan ( ECE Professor at Univ. Wisconsin )
Mar 5
12:30 PM
Going off the grid with limited data | DWQP: A solver for large scale box constrained quadratic programs.
by Gongguo Tang | Srikrishna Sridhar ( EE Post-doc | CS Grad Student )
Feb 26
12:30 PM
Chance-constrained Packing Problems | Suppressing pseudocodewords by penalizing the objective of LP decoding
by Yongjia Song | Xishuo Liu ( CS Grad Student | ECE Grad Student )
Feb 19
12:30 PM
Sparse Signal Recovery in Unions of Subspaces | Nuclear proliferation and convex relaxations: Experimental results of just-in-time research
by Nikhil Rao | Zachary Harmany ( ECE Grad Student | ECE Post-Doc )
Feb 12
12:30 PM
Perturbation, Optimization and Statistics for Effective Machine Learning
by Tamir Hazan ( Assistant Professor, Toyota Technological Institute at Chicago )
Feb 5
12:30 PM
Hardware Optimizations for Optimization | Mirror Descent for Metric Learning
by Victor Bittorf | Gautam Kunapuli ( CS Grad Student | Bio-Stats Post Doc )
Jan 29
12:30 PM
How much is lost in pairwise correlations: the case of phylogenetics
by Sebastien Roch ( Assistant Professor, Math, UW-Madison )

Previous Semesters