Campuses:

Talks

Date Title / Speaker Event
March 10, 2017 Lecture
Anna Gilbert (University of Michigan)
Data Science Seminar
December 09, 2016 Lecture
Marc Light (Honeywell)
Industrial Problems Seminar
October 14, 2016 Lecture
Viktoria Averina (Boston Scientific)
Industrial Problems Seminar
September 30, 2016 Lecture
Amit Singer (Princeton University)
Data Science Seminar
September 27, 2016 Lecture
Amit Singer (Princeton University)
Data Science Seminar
September 09, 2016 Lecture
Boaz Nadler (Weizmann Institute of Science)
Data Science Seminar
August 12, 2016 Mixed-integer Nonlinear Optimization: Problems and Solutions
Daniel Bienstock (Columbia University)
Mathematical Optimization
August 12, 2016 An Introduction to Mixed Integer Nonlinear Optimization
Jeff Linderoth (University of Wisconsin, Madison), James Luedtke (University of Wisconsin, Madison)
Mathematical Optimization
August 11, 2016 Introduction to cutting-plane theory
Santanu Dey (Georgia Institute of Technology)
Mathematical Optimization
August 11, 2016 Decomposition and Reformulation in Mixed-Integer Programming
James Luedtke (University of Wisconsin, Madison)
Mathematical Optimization
August 11, 2016 Lecture
Jeff Linderoth (University of Wisconsin, Madison)
Mathematical Optimization
August 10, 2016 Complexity of Integer Programming
Robert Hildebrand (IBM)
Mathematical Optimization
August 10, 2016 The Branch-and-Cut Algorithm for Solving Mixed-Integer Optimization Problems
James Luedtke (University of Wisconsin, Madison)
Mathematical Optimization
August 10, 2016 Lecture
Jeff Linderoth (University of Wisconsin, Madison)
Mathematical Optimization
August 09, 2016 Multistage Stochastic Programming
Shabbir Ahmed (Georgia Institute of Technology)
Mathematical Optimization
August 09, 2016 Lecture
Jeff Linderoth (University of Wisconsin, Madison)
Mathematical Optimization
August 09, 2016 Benders Decomposition for Solving Two-stage Stochastic Optimization Models
James Luedtke (University of Wisconsin, Madison)
Mathematical Optimization
August 08, 2016 Sample Average Approximation for Stochastic Programs
David Morton (Northwestern University)
Mathematical Optimization
August 08, 2016 Risk Measures in Stochastic Optimization
James Luedtke (University of Wisconsin, Madison)
Mathematical Optimization
August 08, 2016 Lecture
Jeff Linderoth (University of Wisconsin, Madison)
Mathematical Optimization
August 05, 2016 Zero-Order, Black-Box, Derivative-Free, and Simulation-Based Optimization
Stefan Wild (Argonne National Laboratory)
Mathematical Optimization
August 05, 2016 Optimization in Machine Learning and Data Analysis
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 04, 2016 Lecture
Andreas Waechter (Northwestern University)
Mathematical Optimization
August 04, 2016 Lecture
Andreas Waechter (Northwestern University)
Mathematical Optimization
August 04, 2016 Constrained Nonlinear Optimization Theory
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 03, 2016 Semidefinite Programming
Shuzhong Zhang (University of Minnesota, Twin Cities)
Mathematical Optimization
August 03, 2016 Linear Programming Part II: Interior-point Methods and Extensions to Convex Quadratic Programming and Linear Complementarity
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 03, 2016 Linear Programming Part I: Duality Theorem and Simplex Method
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 02, 2016 First Order Methods for Manifolds with Orthogonality Constraints and Connections to the SVD
Laura Balzano (University of Michigan)
Mathematical Optimization
August 02, 2016 Stochastic-gradient, Coordinate Descent, and Newton’s Method
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 02, 2016 First-order Methods: Convex and Nonconvex Problems - Unconstrained, Constrained, and Regularized Problems
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 01, 2016 Optimization: Recognizing Solutions and Algorithmic Basics
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
August 01, 2016 First-Order Algorithms
Shuzhong Zhang (University of Minnesota, Twin Cities)
Mathematical Optimization
August 01, 2016 Optimization Taxonomy and Mathematical Foundations
Stephen Wright (University of Wisconsin, Madison)
Mathematical Optimization
June 25, 2016 Regularity of Solutions of Delay Differential Equations: C∞ versus Analytic
John Mallet-Paret (Brown University)
Dynamics and Differential Equations
June 25, 2016 Transition Fronts of Nonlocal Dispersal Evolution Equations in Heterogeneous Media
Wenxian Shen (Auburn University)
Dynamics and Differential Equations
June 25, 2016 Effect of energy spectra on tracer cascade
Michael Jolly (Indiana University)
Dynamics and Differential Equations
June 24, 2016 Determining the Global Dynamics of the 2D Navier-Stokes Equations by 1D ODE
Edriss Titi (Texas A & M University)
Dynamics and Differential Equations
June 24, 2016 Nonautonomous Dynamical Systems
Russell Johnson (Università di Firenze)
Dynamics and Differential Equations
June 24, 2016 Toward a Smooth Ergodic Theory for Infinite Dimensional Systems
Lai-Sang Young (New York University)
Dynamics and Differential Equations
June 24, 2016 Nonlocal equations and their long time behavior
Peter Constantin (Princeton University)
Dynamics and Differential Equations
June 23, 2016 Recent progress in the theory of inertial manifolds
Sergey Zelik (University of Surrey)
Dynamics and Differential Equations
June 23, 2016 Self-similar point vortices and confinement of vorticity
Dragos Iftimie (Université Claude-Bernard (Lyon I))
Dynamics and Differential Equations
June 23, 2016 Global Existence for Fully Nonlinear Reaction-diffusion Systems Describing Multicomponent Reactive Flows
Martine Marion (École Centrale de Lyon)
Dynamics and Differential Equations
June 23, 2016 Global Stability of the Fixed Point of a Certain Planar Map
Robert Sacker (University of Southern California)
Dynamics and Differential Equations
June 22, 2016 Concentration of Stationary Measures
Yingfei Yi (University of Alberta)
Dynamics and Differential Equations
June 22, 2016 Stochastic Viral Dynamics with Beddington-DeAngelis Functional Response
Yuncheng You (University of South Florida)
Dynamics and Differential Equations
June 22, 2016 Ensemble Dynamics and Bred Vectors
Anna Mazzucato (The Pennsylvania State University)
Dynamics and Differential Equations
June 22, 2016 Dynamics of Order-preserving Systems with Mass Conservation
Hiroshi Matano (University of Tokyo)
Dynamics and Differential Equations
June 22, 2016 Some Remarks on the Maximum Principle for Stochastic Partial Differential Equations
Roger Temam (Indiana University)
Dynamics and Differential Equations
June 10, 2016 Recent advances in shape and topology optimization by the level set method
Francois Jouve (Université de Paris VII (Denis Diderot))
Frontiers in PDE-constrained Optimization
June 10, 2016 Sensitivity-Based Topology and Shape Optimization for Electrical Machines subject to Nonlinear Magnetostatics
Peter Gangl (Johannes Kepler Universität Linz)
Frontiers in PDE-constrained Optimization
June 10, 2016 Exploiting Sparsity in Solving PDE-Constrained Inverse Problems: Application in Subsurface Flow Model Calibration
Benham Jafarpour (University of Southern California)
Frontiers in PDE-constrained Optimization
June 09, 2016 Fast solvers and practical implementation in PDE-constrained optimization
Andrew Barker (Lawrence Livermore National Laboratory)
Frontiers in PDE-constrained Optimization
June 09, 2016 Practical PDE-constrained optimization at Boeing
Thomas Grandine (The Boeing Company)
Frontiers in PDE-constrained Optimization
June 09, 2016 Mitigating Cycle Skipping Issue in Full Waveform Inversion: An Optimal Transport Investigation
Jean Virieux (University Grenoble Alpes)
Frontiers in PDE-constrained Optimization
June 09, 2016 Full-Wavefield Inversion: An extreme-scale optimization problem
Martin Lacasse (ExxonMobil)
Frontiers in PDE-constrained Optimization
June 09, 2016 Two steps forward, one step back: Inverse problems require new forward solvers
Paul Barbone (Boston University)
Frontiers in PDE-constrained Optimization
June 08, 2016 Hyperparameter Sensitivity and Impact Estimation in 4D-Var Data Assimilation
Dacian Daescu (Portland State University)
Frontiers in PDE-constrained Optimization
June 08, 2016 Optimal control of systems governed by PDEs with random parameter fields
Noemi Petra (University of California)
Frontiers in PDE-constrained Optimization
June 08, 2016 Mixed-Integer PDE Constrained Optmization
Sven Leyffer (Argonne National Laboratory)
Frontiers in PDE-constrained Optimization
June 08, 2016 Ultra High Resolution Structural Optimization
Niels Aage (Technical University of Denmark)
Frontiers in PDE-constrained Optimization
June 08, 2016 Shape reconstruction techniques for solving inverse problems with interfaces
Oliver Dorn (University of Manchester)
Frontiers in PDE-constrained Optimization
June 07, 2016 Introduction to PDE-constrained Optimization in the Oil Industry
Jeremy Brandman (ExxonMobil)
Frontiers in PDE-constrained Optimization
June 07, 2016 Tutorial on Inverse Problems: Theory, Algorithms, and Hands-on Experience
Wilkins Aquino (Duke University)
Frontiers in PDE-constrained Optimization
June 07, 2016 Tutorial on Topology Optimization
Kurt Maute (University of Colorado)
Frontiers in PDE-constrained Optimization
June 07, 2016 Tutorial on Shape Optimization Problems
Shawn Walker (Louisiana State University)
Frontiers in PDE-constrained Optimization
June 07, 2016 Tutorial on High-level Adjoint Derivation with Dolfin-adjoint
Patrick Farrell (University of Oxford)
Frontiers in PDE-constrained Optimization
June 06, 2016 Tutorial on Algorithms and Software for PDE-constrained Optimization
Denis Ridzal (Sandia National Laboratories)
Frontiers in PDE-constrained Optimization
June 06, 2016 Tutorial on Optimization of PDEs with Uncertain Inputs
Drew Kouri (Sandia National Laboratories)
Frontiers in PDE-constrained Optimization
June 06, 2016 Tutorial on Optimal Control of Variational Inequalities
Thomas Surowiec (Humboldt-Universität)
Frontiers in PDE-constrained Optimization
June 06, 2016 Brief Introduction to PDE-constrained Optimization
Harbir Antil (George Mason University)
Frontiers in PDE-constrained Optimization
May 19, 2016 Quantile Search for Minimum-Time Sampling
Laura Balzano (University of Michigan)
Resource Trade-offs: Computation, Communication, and Information
May 19, 2016 Asynchronous Stochastic Convex Optimization
John Duchi (Stanford University)
Resource Trade-offs: Computation, Communication, and Information
May 19, 2016 Finite Sample Error Bounds for Ordinal Embedding
Robert Nowak (University of Wisconsin, Madison)
Resource Trade-offs: Computation, Communication, and Information
May 18, 2016 Second-order optimization for machine learning in linear time
Elad Hazan (Princeton University)
Resource Trade-offs: Computation, Communication, and Information
May 18, 2016 Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt (Google Inc.)
Resource Trade-offs: Computation, Communication, and Information
May 18, 2016 A Variational Perspective on Accelerated Methods in Optimization
Michael Jordan (University of California, Berkeley)
Resource Trade-offs: Computation, Communication, and Information
May 18, 2016 Parallelizing Stochastic Approximation Through Mini-Batching and Averaging
Sham Kakade (University of Washington)
Resource Trade-offs: Computation, Communication, and Information
May 18, 2016 Variational functions of Gram matrices: convex optimization and applications
Maryam Fazel (University of Washington)
Resource Trade-offs: Computation, Communication, and Information
May 17, 2016 Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning
Shai Shalev-Shwartz (Hebrew University)
Resource Trade-offs: Computation, Communication, and Information
May 17, 2016 Delay and Cooperation in Nonstochastic Bandits
Nicolo Cesa-Bianchi (Università di Milano)
Resource Trade-offs: Computation, Communication, and Information
May 17, 2016 Statistical Seriation
Philippe Rigollet (Massachusetts Institute of Technology)
Resource Trade-offs: Computation, Communication, and Information
May 17, 2016 Memory, Communication, and Statistical Queries
Gregory Valiant (Stanford University)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 Sparse Approximation, List Decoding, and Uncertainty Principles
Anna Gilbert (University of Michigan)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 A Story of Principal Component Analysis in the Distributed Model
David Woodruff (IBM Research Division)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 Tradeoffs in Contextual Bandit Learning
Alekh Agarwal (Microsoft Research)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 Communication Efficient Algorithms for Distributed Machine Learning
Nina Balcan (Carnegie-Mellon University)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 Factored Gradient Descent: on Dropping Convexity for Faster Optimization
Sujay Sanghavi (The University of Texas at Austin)
Resource Trade-offs: Computation, Communication, and Information
May 16, 2016 Planted Clique, Sum-of-Squares and Pseudo-Calibration
Ankur Moitra (Massachusetts Institute of Technology)
Resource Trade-offs: Computation, Communication, and Information
May 13, 2016 Organizers’ summary and panel discussion Control at Large Scales: Energy Markets and Responsive Grids
May 13, 2016 Transmission Topology Optimization in Large-scale Power Networks
Pablo Ruiz (Boston University)
Control at Large Scales: Energy Markets and Responsive Grids
May 13, 2016 Facilitating Flexible Service Provision in Electric Power Markets via Swing Contracting
Leigh Tesfatsion (Iowa State University)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 Risk-Aware Demand Management of Aggregators Participating in Energy Programs with Utilities
Ana Radovanovic (Google Inc.)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 Lecture
Farrokh Rahimi (Open Access Technology International Inc.)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 Inferring the behavior of distributed flexible electric loads
Johanna Mathieu (University of Michigan)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 A Dynamic Framework for Real-time and Regulation Markets for Smart Grids
Anuradha Annaswamy (Massachusetts Institute of Technology)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 Virtual Inertia Emulation and Placement in Power Grids
Florian Dorfler (ETH Zürich)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 Architectures and Algorithms for Distributed Generation Control of Inertia-Less AC Microgrids
Alejandro Dominguez-Garcia (University of Illinois at Urbana-Champaign)
Control at Large Scales: Energy Markets and Responsive Grids
May 12, 2016 How Do We Manage the Complexity of the Grid?
Eugene Litvinov (ISO New England Inc.)
Control at Large Scales: Energy Markets and Responsive Grids

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