The First WASP Workshop on Large-Scale Optimization for Autonomy and Learning (LSOAL) will be held October 13-14, 2020 at KTH. It will be arranged as a hybrid conference, where those who prefer can attend via a Zoom Webinar. There will be a strict limit on the number of participants on-site.
We are looking forward to an exciting workshop where we can exchange ideas on large-scale optimization from theory to applications. The workshop is not limited to autonomy and learning, but we expect a strong interest in this area.
Welcome,
Bo Wahlberg (KTH) and Anders Hansson (LiU)
Program
Join Zoom meeting
Meeting ID: 625 8721 0118
October 13
13.00 – 13.30 Minimax adaptive control Anders Rantzer, LU
13.30 – 14.00 Meta-Learning for Autonomous Optimization Arun Venkitaraman , KTH
14.00 – 14.30 A learned step-size policy for limited memory BFGS Lucas Egidio, LiU
14.30 – 15.00 Exact complexity certification of Active-Set QP Methods Daniel Arnström, LiU
15.00 – 15.30 Coffee break
15.30 – 16.00 Nonlinear forward backward splitting with Pontus Gieselsson, LU projection correction
16.00 – 16.30 On the Convergence Properties of Stochastic Xiaoyu Wang, KTH Gradient Descent with Bandwidth-based Step Size
16.30 – 17.00 Convergence of a Stochastic Gradient Method with Mai Van Vien, KTH Momentum for Non-Smooth Non-Convex Optimization
17.00 – 17.30 Bias in SAG-like Variance Reduced Martin Morin, LU Stochastic Gradient Methods
October 14
09.00 – 09.30 Neural Network Approaches for Bo Wahlberg, KTH Model Predictive Control
09.30 – 10.00 An Optimization-Based Receding Horizon Kristoffer Bergman, LiU Trajectory Planning Algorithm
10.00 – 10.30 Coffee break
10.30 – 11.00 Optimisation approaches for scheduling of a Elina Rönnberg, LiU configurable safety-critical electronic system
11.00 – 11.30 Distributed localization using Shervin Parvini Ahmadi, LiU Levenberg-Marquardt algorithm
11.30 – 12.00 A flexible framework for communication-efficient Sindri Magnusson, KTH machine learning: from HPC to IoT