Publications associées à Algorithme à évolution différentielle

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

Rachid Guerraoui, Andrei Kucharavy, Matteo Monti

Modern machine learning (ML) models are capable of impressive performances. However, their prowess is not due only to the improvements in their architecture and training algorithms but also to a drastic increase in computational power used to train them.|S ...

New York2023

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Volkan Cevher, Ali Kavis

We propose a novel adaptive, accelerated algorithm for the stochastic constrained convex optimization setting. Our method, which is inspired by the Mirror-Prox method, simultaneously achieves the optimal rates for smooth/non-smooth problems with either det ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2019

An adaptive primal-dual framework for nonsmooth convex minimization

Volkan Cevher, Quoc Tran Dinh, Ahmet Alacaoglu

We propose a new self-adaptive and double-loop smoothing algorithm to solve composite, nonsmooth, and constrained convex optimization problems. Our algorithm is based on Nesterov’s smoothing technique via general Bregman distance functions. It self-adaptiv ...

2019

Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation

Dominique Bonvin, Martand Singhal, Afaq Ahmad

Iterative real-time optimization schemes that employ modifier adaptation add bias and gradient correction terms to the model that is used for optimization. These affine corrections lead to meeting the first-order necessary conditions of optimality of the p ...

ELSEVIER SCIENCE BV2018

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints

Ali H. Sayed, Kun Yuan, Sulaiman A S A E Alghunaim

In this work, a distributed multi-agent optimization problem is studied where different subsets of agents are coupled with each other through affine constraints. Moreover, each agent is only aware of its own contribution to the constraints and only knows w ...

IEEE2018

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

Dominique Bonvin, Colin Neil Jones, Timm Faulwasser, Harsh Ambarishkumar Shukla

In the context of static real-time optimization, the use of measurements allows dealing with uncertainty in the form of plant-model mismatch and disturbances. Modifier adaptation (MA) is a measurement-based scheme that uses first-order corrections to the m ...

IEEE2018

Integration of Perimeter Control and Route Guidance in Large-scale Urban Networks via Model Predictive Control

Nikolaos Geroliminis, Isik Ilber Sirmatel

Traffic congestion is a substantial problem plaguing modern society. Researchers and practitioners working on transportation systems turn to methods from automatic control to decrease congestion and improve urban mobility. Considering the sheer physical si ...

2017

Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies

Dario Floreano, Matteo Dal Peraro, Matteo Thomas Degiacomi, Andrea Maesani, Giorgio Elikem Tamo, Sylvain Träger

Predicting the structure of large molecular assemblies remains a challenging task in structural biology when using integrative modeling approaches. One of the main issues stems from the treatment of heterogeneous experimental data used to predict the archi ...

Nature Publishing Group2017

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Algorithme à évolution différentielle

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

An adaptive primal-dual framework for nonsmooth convex minimization

Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes

Constrained optimization applied to multiscale integrative modeling

Integration of Perimeter Control and Route Guidance in Large-scale Urban Networks via Model Predictive Control

Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies

Graph Chatbot

Chattez avec Graph Search

An adaptive primal-dual framework for nonsmooth convex minimization

Constrained optimization applied to multiscale integrative modeling

Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Integration of Perimeter Control and Route Guidance in Large-scale Urban Networks via Model Predictive Control

Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation

Dual Coupled Diffusion for Distributed Optimization with Affine Constraints

Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Real-Time Optimization of Uncertain Process Systems via Modifier Adaptation and Gaussian Processes