CORE Seminar

The CORE Seminar is an interdepartmental talks series focused on optimization, machine learning, big data, statistics and numerics. This new cross campus activity aims to leverage the newly established critical mass of faculty and students in these areas at UW. Since 2014, CORE sem­i­nar has been funded by Pacific Institute of Mathematical Sciences (PIMS) and the UW Deans of Engineering and Arts and Sciences. In 2013-14, it was funded by the depart­ments of Math­e­mat­ics, Sta­tis­tics, Elec­tri­cal Engi­neer­ing, and Com­puter Sci­ence Engi­neer­ing, and the deans of Engi­neer­ing and Arts and Sciences.

Upcoming Talks

Zaid Harchaoui, Department of Statistics, University of Washington
April 18, 2017, 4pm, Location: EEB 125
Catalyst, Generic Acceleration Scheme for Gradient-based Optimization

Past Talks:

Liza Levina, Department of Statistics, University of Michigan
Interpretable Prediction Models for Network-Linked Data
April 11, 2017, 4pm, Location: EEB 125

Jon Lee, Department of Industrial and Operations Engineering, University of Michigan
Mixed-Integer Nonlinear Optimization: Let’s get crazy!
January 31, 2016, 4pm, Location: LOW 105

David Shmoys, Department of Computer Science, Cornell University
Models and Algorithms for the Operation and Design of Bike-Sharing Systems
December 1, 2016, 11am, Location: CSE 403

Nina Balcan, Carnegie Mellon University
Distributed Machine Learning

May 31, 2016, 4 pm, Location: EEB 125

Sébastien Bubeck, Microsoft Research
New Results at the Crossroads of Convexity, Learning and Information Theory

April 19, 2016, 4 pm, Location: LOW 102

Katya Scheinberg, Lehigh University
Using randomized models in black-box, derivative free and stochastic optimization
March 8 , 2016, 4 pm, Location: SMI 304

Pedro Domingos, Department of Computer Science and Engineering, University of Washington
Recursive Decomposition for Nonconvex Optimization/em>
November 24 , 2015, Location: Gowen Hall, Room 201

Michael Overton, Courant Institute of Mathematical Sciences, New York University
Non­smooth, Non­con­vex Opti­miza­tion: Algo­rithms and Examples
October 13, 2015, Location: Raitt Hall (RAI), Room 121

Jonathan Kelner, Department of Mathematics, MIT
Bridging the Numerical and the Combinatorial: Emerging Tools, Techniques, and Design Principles for Graph Algorithms
May 19, 2015, EEB 125

Joel Tropp, Department of Computing and Mathematical Sciences, Caltech
Applied Random Matrix Theory
April 28, 2015

Andrew Fitzgib­bon, Microsoft Research, Cam­bridge
Learn­ing about Shape
March 30, 2015

Jeannette Wing, Corporate Vice President of Microsoft Research
Computational Thinking
February 27, 2015
Math Across Campus Seminar

Jon Kleinberg, Departments of Computer Science and Information Science, Cor­nell
Incentives for Collective Behavior: Badges, Procrastination, and Long-Range Goals
January 15, 2015
CSE Distinguished Lecture Series, Data Science Seminar

James Rene­gar, School of Oper­a­tions Research and Infor­ma­tion Engi­neer­ing, Cor­nell
Extend­ing the Applic­a­bil­ity of Effi­cient First-Order Meth­ods for Con­vex Optimization
January 13, 2015

Peter Bür­gisser, Insti­tute for Math­e­mat­ics, TU Berlin
Condition of Convex Optimization and Spherical Intrinsic Volumes
Dec 2, 2014

Past Talks 2013-2014:

Dan Spielman, Department of Computer Science, Yale University
Spectral Sparsification of Graphs
May 8, 2014
Math Across Campus Seminar

Sanjeev Arora, Department of Computer Science, Princeton University
Overcoming Intractability in Unsupervised Learning
April 15, 2014

David Blei, Department of Computer Science, Princeton University
Probabilistic Topic Models of Text and Users
March 31, 2014

Maryam Fazel, Department of Electrical Engineering, University of Washington
Fill­ing In the Gaps: Recov­ery from Incom­plete Information
February 21, 2014
Math Across Campus Seminar

Pablo Parrilo, Department of Electrical Engineering and Computer Science, MIT
Flows and Decompositions of Games; Harmonic and Potential Games
December 2, 2013

Stephen P. Boyd, Department of Electrical Engineering, Stanford University
Con­vex Opti­miza­tion: From Embed­ded Real-Time to Large-Scale Distributed
October 29, 2013