The CORE Seminar is an interdepartmental talks series focused on optimization, machine learning, big data, statistics and numerics. This cross campus activity aims to leverage the newly established critical mass of faculty and students in these areas at UW. Since 2014, the CORE seminar has been funded by the Pacific Institute of Mathematical Sciences (PIMS). It is supported by the departments of Mathematics, Applied Mathematics, Statistics, Electrical Engineering, and Computer Science and Engineering, and the deans of Engineering and Arts and Sciences.
Upcoming Talks
Past Talks:
Bernd Sturmfels, MPI Leipzig / UC Berkeley
Tuesday February 18, 2020, BAG 154, 4-5pm
3264 Conics in A Second
Mehran Mesbahi, Dept. of Aeronautics and Astronautics, University of Washington
Tuesday February 25, 2020, CSE2 G04, 4-5pm
Control Synthesis through the Lens of First Order Methods
Marco Cuturi, Google Brain, Paris
Tuesday November 19, 2019, CSE2 G04, 4-5pm
Computational Optimal Transport
Alekh Agarwal, Microsoft Research AI
Tuesday November 12, 2019 CSE2 G04 4-5pm
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
Cynthia Vinzant, Dept. of Mathematics, North Carolina State University
Tuesday October 8, 2019, CSE2 (Gates) G04, 4-5pm
Determinants, polynomials, and matroids
Amir Ali Ahmadi, Dept. of Operations Research and Financial Engineering, Princeton University
Friday May 17, 2019, ECE 037, 2:30-3:30pm
Nonnegative polynomials: from optimization to control and learning
Rainer Sinn, Fachbereich Mathematik und Informatik, Freie Universität Berlin
Daniel Plaumann, Fakultät für Mathematik, Technische Universität Dortmund
Tuesday May 14, 2019, More Hall 234, 4pm-5:30pm
From conic programming to real algebraic geometry and back
Jesús De Loera, Department of Mathematics, UC Davis
Nov 30, 2018, 2:30pm in MEB 248
Variations on a theme by G. Dantzig: Revisiting the principles of the Simplex Algorithm
Francis Bach, Inria and Ecole Normale Supérieure
Nov 8, 2018, 11:00am in EEB 105
Can machine learning survive the artificial intelligence revolution?
Yurii Nesterov, CORE/INMA, UCL, Belgium
May 21, 2018, 4:00pm, Location: SMI 205
Relative smoothness condition and its application to third-order methods
Aaron Sidford, Department of Management Science and Engineering, Stanford University
May 8, 2018, Time: 4:00pm, Location: SAV 264
Faster Algorithms for Computing the Stationary Distribution
John Duchi, Departments of Statistics and Electrical Engineering, Stanford University
October 20, 2017, 3:30pm, Location: SMI 211(joint with STAT seminar)
Composite modeling and optimization, with applications to phase retrieval and nonlinear observation modeling
Zaid Harchaoui, Department of Statistics, University of Washington
April 18, 2017, 4pm, Location: EEB 125
Catalyst, Generic Acceleration Scheme for Gradient-based Optimization
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