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

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

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

Graph Chatbot

Chat with Graph Search

Robust optimization of control parameters for WEC arrays using stochastic methods

Universal and adaptive methods for robust stochastic optimization

Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system

Data-driven Methods for Control: from Linear to Lifting

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Stochastic adaptive resampling for the estimation of discrete choice models

Distributional Regression and Autoregression via Optimal Transport

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields

Universal and adaptive methods for robust stochastic optimization

Robust optimization of control parameters for WEC arrays using stochastic methods

Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system

Data-driven Methods for Control: from Linear to Lifting

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Stochastic adaptive resampling for the estimation of discrete choice models

Distributional Regression and Autoregression via Optimal Transport

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Spatiotemporal energy-density distribution of time-reversed electromagnetic fields