On the Trade-off between Flatness and Optimization in Distributed Learning

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On the Trade-off between Flatness and Optimization in Distributed Learning

Chattez avec Graph Search

A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints

Regularity Matters: Designing Practical FPGA Switch-Blocks

Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms

Assisted specification of discrete choice models

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Dynamic lane restrictions on congested arterials

A Mixed-Integer Linear Programming Formulation for Optimizing Multi-Scale Material and Energy Integration

Distributed Multi-Building Coordination for Demand Response

The Minimization of Public Facilities With Enhanced Genetic Algorithms Using War Elimination

Machine learning methods to assist energy system optimization

Adversarially Robust Optimization with Gaussian Processes

Optimization of Traffic Signals for Transit Priority in Arterials with Dedicated Bus Lanes and Stochastic Arrivals: A System-Oriented Approach

Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES

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