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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
Learning Regularizers from Data
Venkat Chandrasekaran, Caltech
12:00 Lunch
14:00
Accelerated Min-Sum for consensus
Patrick Rebeschini, Yale University
15:20 Coffee
15:50

Thursday, June 15

09:00
Convex Optimization with Abstract Linear Operators
Stephen Boyd, Stanford University
10:20 Coffee
10:50
12:10 Lunch
14:00
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
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
15:20 Coffee
15:50
16:30  Final remarks - end of the workshop