Workshop Program
Large-Scale and Distributed Optimization: Workshop Program
Tuesday, June 13
| 11:05-11:50 14:05-15:00 | Focus period seminars (seminar room of Automatic Control Department, Ole Römers väg 1, Lund) |
| 17:00-19:00 | Welcoming reception and registration at the Pufendorf Institute in Biskopsgatan 3 (map). |
Wednesday, June 14
| 10:00 | Registration at Ideon and Coffee |
| 10:30 | Opening remarks |
| 10:40 | Graph Structure in Polynomial Systems: Chordal Networks Pablo A. Parrilo, MIT Learning Regularizers from Data Venkat Chandrasekaran, Caltech |
| 12:00 | Lunch |
| 14:00 | Fast Distributed Algorithms for Optimization in Time-Varying Graphs Angelia Nedich, Arizona State University Accelerated Min-Sum for consensus Patrick Rebeschini, Yale University |
| 15:20 | Coffee |
| 15:50 | Accelerated Douglas-Rachford splitting and ADMM for structured nonconvex optimization Panos Patrinos, KU Leuven |
Thursday, June 15
| 09:00 | Convex Optimization with Abstract Linear Operators Stephen Boyd, Stanford University Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage Madeleine Udell, Cornell University |
| 10:20 | Coffee |
| 10:50 | Primal and Dual Predicted Decrease Approximation Methods Amir Beck, Technion A Globally Linearly Convergent Method for Large-Scale Pointwise Quadratically Supportable Convex-Concave Saddle Point Problems Russell Luke, University of Göttingen |
| 12:10 | Lunch |
| 14:00 | Robust control for the analysis and design of large-scale optimization algorithms Laurent Lessard, University of Wisconsin - Madison Optimal and Long-Step Feasibility Algorithms Pontus Giselsson, Lund University |
| 15:20 | Coffee and demo |
| 16:00 | Low-Rank Inducing Norms with Optimality Interpretations Christian Grussler, Lund University |
| 18:30 | Symposium Dinner at Hypoteket |
Friday, June 16
| 09:00 | Optimal algorithms for smooth and strongly convex distributed optimization in networks Francis Bach, École normale supérieure A Generic Quasi-Newton Algorithm for Faster Gradient-Based Optimization Julien Mairal, INRIA - Grenoble |
| 10:20 | Coffee |
| 10:50 | Distributed Robustness Analysis Anders Hansson, Linköping University Sparsity and asynchrony in distributed optimization: models and convergence results Mikael Johansson, Royal Institute of Technology, Stockholm |
| 12:10 | Lunch |
| 14:00 | The proximal augmented Lagrangian method for nonsmooth composite optimization Mihailo Jovanovic, University of Southern California Randomized Primal-Dual Algorithms for Distributed Empirical Risk Minimization Lin Xiao, Microsoft Research, Redmond |
| 15:20 | Coffee |
| 15:50 | A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints Anders Rantzer, Lund University |
| 16:30 | Final remarks - end of the workshop |