Exact Diffusion for Distributed Optimization and Learning-Part II: Convergence Analysis

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Exact Diffusion for Distributed Optimization and Learning-Part II: Convergence Analysis

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C-shells: Deployable Gridshells with Curved Beams

Functional data analysis with rough sample paths?

Quantitative Methods for Omnichannel Decision-Making

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

Computational Conceptual Design – Typological Exploration Of Spatial Truss Systems Through Optimization

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Optimization and equilibrium problems with discrete choice models

Localization errors of the stochastic heat equation