Tues Oct 8, 2019 (CORE Series)
Time and Location TBA
Cynthia Vinzant, Dept. of Mathematics, North Carolina State University
Tues Oct 15, 2019 (CORE Series)
Time and Location TBA
Alekh Agarwal, Microsoft Research AI
Tues Feb 25, 2020 (CORE Series)
Time and Location TBA
Mehran Mesbahi, Dept. of Aeronautics and Astronautics, University of Washington
Jan 17
Amy Wiebe, Department of Mathematics, University of Washington
On representing the positive semidefinite cone using the second order cone
Jan 31 [CORE]
Jon Lee, Department of Industrial and Operations Engineering, University of Michigan
Mixed-Integer Nonlinear Optimization: Let’s get crazy!
Feb 7
Asen L. Dontchev, Mathematical Reviews and University of Michigan
Strong Metric Subregularity
Feb 14
Lynn Chua, Department of Computer Science, UC Berkeley
Gram spectrahedra
Feb 21
Rebecca Hoberg, Department of Mathematics, University of Washington
Number balancing is as hard as Minkowski’s theorem
Mar 14
Abe Engle, Department of Mathematics, University of Washington
Local Convergence Rates of a Gauss-Newton Method for Convex Compositions
Apr 11 [CORE]
Liza Levina, Department of Statistics, University of Michigan
Interpretable Prediction Models for Network-Linked Data
Apr 18 [CORE]
Zaid Harchaoui, Department of Statistics, University of Washington
Catalyst, Generic Acceleration Scheme for Gradient-based Optimization
Apr 25
Andrew Pryhuber, Department of Mathematics, University of Washington
A QCQP Approach for Triangulation
May 2
Scott Roy, Department of Mathematics, University of Washington
An Optimal First-order Method Based on Optimal Quadratic Averaging
May 9
Peng Zheng, Department of Applied Mathematics, University of Washington
What’s the shape of your penalty?
May 30
Kellie MacPhee, Department of Mathematics, University of Washington
Gauge and perspective duality
Jun 1
Madeleine Udell, Dept. of Operations Research and Information Engineering, Cornell University
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
Jun 6
Hongzhou Lin, Inria Grenoble
A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization
Oct 11 [TOPS]
Harishchandra Ramadas, Department of Mathematics, University of Washington
A Deterministic Algorithm for Discrepancy Minimization
Nov 1 [TOPS]
Reza Eghbali, Department of Electrical Engineering, University of Washington
Worst Case Competitive Analysis of Online Algorithms for Conic Optimization
Nov 7 [EE Lytle Lecture – Broad Audience]
David Donoho, Department of Statistics, Stanford University
See details here.
Nov 8 [EE Lytle Lecture – Colloquium]
David Donoho, Department of Statistics, Stanford University
See details here.
Nov 15 [TOPS]
Rainer Sinn, School of Mathematics, Georgia Institute of Technology
Positive semidefinite matrix completion and sums of squares
Nov 21 [TOPS – special date]
Jonathan Jedwab, Department of Mathematics, Simon Fraser University
How many mutually unbiased bases can exist in complex space of dimension d?
Nov 22 [TOPS]
Jonathan Jonker, Department of Mathematics, University of Washington
Singular Kalman Smoothing
Nov 29 [TOPS]
Yin-Tat Lee, Microsoft Research
Geodesic Walks
Dec 1 [CORE / CSE Theory Seminar]
David Shmoys, Department of Computer Science, Cornell University
Models and Algorithms for the Operation and Design of Bike-Sharing Systems
Dec 2 [Math Across Campus – Broad Audience]
David Shmoys, Department of Computer Science, Cornell University
See details here.
January 12
James Davis, University of Illinois at Urbana-Champaign
Customer Choice Models and Assortment Optimization
January 19
João Gouveia, Departament of Mathematics, University of Coimbra
Positive semidefinite rank and representations of polytopes
February 9
Jane Ye, Department of Mathematics and Statistics
University of Victoria
On solving bilevel programming problems
February 23
Tristan van Leeuwen, Utrecht University
A penalty method for PDE-constrained optimization in inverse problems
March 8 [core]
Katya Scheinberg, Lehigh University
Using randomized models in black-box, derivative free and stochastic optimization
March 30 [CORE]
Andrew Fitzgibbon, Microsoft Research, Cambridge.
Learning about Shape
April 14
Andreas Griewank, Institut für Mathematik, Humboldt University of Berlin.
Lipschitzian Piecewise Smooth Optimization
April 28 [CORE]
Joel Tropp, Department of Computing and Mathematical Sciences, Caltech.
Applied Random Matrix Theory
May 5
Frank Permenter, EECS Department, MIT.
Partial facial reduction: simplified, equivalent SDPs via approximations of the PSD cone
May 12
Sebastian Bubeck, MSR.
The Entropic Barrier: A New and Optimal Universal Self-concordant Barrier
May 19 [CORE]
Jonathan Kelner, MIT.
Bridging the Numerical and the Combinatorial: Emerging Tools, Techniques, and Design Principles for Graph Algorithms
Click on the title or see below for the abstracts.
January 13 [CORE]
James Renegar, School of Operations Research and Information Engineering, Cornell.
Extending the Applicability of Efficient First-Order Methods for Convex Optimization
January 15 [CORE, CSE]
Jon Kleinberg, Departments of Computer Science and Information Science, Cornell.
Incentives for Collective Behavior: Badges, Procrastination, and Long-Range Goals
January 27
Hon Leung Lee, Department of Mathematics, UW.
Minimizing Distance to an Orthogonally Invariant Matrix Set
February 24
Emily Fox, Department of Statistics, UW.
Leveraging Optimization Techniques to Scale Bayesian Inference
February 27 [MAC]
Jeannette Wing, Corporate Vice President of Microsoft Research.
Computational Thinking
March 10
Jiashan Wang, Department of Mathematics, UW.
Iterative Re-weighted Linear Least Squares for Exact Penalty Subproblems on Product Sets
Click on the title or see below for the abstracts.