September 16, 2016 |
Large Scale Subspace Clustering René Vidal (Johns Hopkins University) |
Transdisciplinary Foundations of Data Science |

September 16, 2016 |
High-dimensional Vector Autoregression: Modeling, Estimation and Applications George Michailidis (University of Florida) |
Transdisciplinary Foundations of Data Science |

September 15, 2016 |
Differential Privacy: From Theory to Practice Ilya Mironov (Google Inc.) |
Transdisciplinary Foundations of Data Science |

September 15, 2016 |
Active Sampling for Optimizing Prediction Model Reliability Georg Krempl (Otto-von-Guericke-Universität Magdeburg) |
Transdisciplinary Foundations of Data Science |

September 15, 2016 |
An Optimization Perspective on Data Analysis Moses Charikar (Stanford University) |
Transdisciplinary Foundations of Data Science |

September 15, 2016 |
New Algorithms for Similarity Search in High Dimensions Piotr Indyk (Massachusetts Institute of Technology) |
Transdisciplinary Foundations of Data Science |

September 15, 2016 |
Efficient Dimension Reduction with Guarantees, from Clustering to Hashing Rachel Ward (The University of Texas at Austin) |
Transdisciplinary Foundations of Data Science |

September 14, 2016 |
Three principles of data science: predictability, stability, and computability Bin Yu (University of California, Berkeley) |
Transdisciplinary Foundations of Data Science |

September 14, 2016 |
Low Rank Tensor Completion Ming Yuan (University of Wisconsin, Madison) |
Transdisciplinary Foundations of Data Science |

September 14, 2016 |
Foundations of Data Science: Mind the Gaps Vasant Honavar (The Pennsylvania State University) |
Transdisciplinary Foundations of Data Science |

September 14, 2016 |
Learning with Imperfect Labels Vipin Kumar (University of Minnesota, Twin Cities) |
Transdisciplinary Foundations of Data Science |

September 14, 2016 |
Make Anomaly Detection Great Again Nina Mishra (Amazon) |
Transdisciplinary Foundations of Data Science |

September 09, 2016 |
Unsupervised Ensemble Learning 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), Jim Luedtke (University of Wisconsin, Madison) |
Mathematical Optimization |

August 11, 2016 |
Decomposition and Reformulation in Mixed-Integer Programming Jim Luedtke (University of Wisconsin, Madison) |
Mathematical Optimization |

August 11, 2016 |
Solving Symmetric Integer Programs Jeff Linderoth (University of Wisconsin, Madison) |
Mathematical Optimization |

August 11, 2016 |
Introduction to Cutting-plane Theory (Part 2) Santanu Dey (Georgia Institute of Technology) |
Mathematical Optimization |

August 11, 2016 |
Introduction to Cutting-plane Theory (Part 1) Santanu Dey (Georgia Institute of Technology) |
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 Jim Luedtke (University of Wisconsin, Madison) |
Mathematical Optimization |

August 10, 2016 |
Modeling with Integer variables 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 |
Algorithms for Solving Two-Stage Stochastic Optimization Problems Jeff Linderoth (University of Wisconsin, Madison) |
Mathematical Optimization |

August 09, 2016 |
Benders Decomposition for Solving Two-stage Stochastic Optimization Models Jim 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 Jim Luedtke (University of Wisconsin, Madison) |
Mathematical Optimization |

August 08, 2016 |
Stochastic Programming Modeling 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 |
Constrained Nonlinear Optimization Algorithms Part II Andreas Waechter (Northwestern University) |
Mathematical Optimization |

August 04, 2016 |
Constrained Nonlinear Optimization Algorithms Part I 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 (Université 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 |