Publications associées à K-Adaptability in Two-Stage Distributionally Robust Binary Programming

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

K-Adaptability in Two-Stage Distributionally Robust Binary Programming

Graph Chatbot

Chattez avec Graph Search

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Quantum Protocols for ML, Physics, and Finance

Reliable data-driven decision-making through optimal transport

Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

Graph generative deep learning models with an application to circuit topologies

Identification of typical district configurations: A two-step global sensitivity analysis framework

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

Energy Management of Price-Maker Community Energy Storage by Stochastic Dynamic Programming

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Quantum Protocols for ML, Physics, and Finance

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Reliable data-driven decision-making through optimal transport

Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

Graph generative deep learning models with an application to circuit topologies

Identification of typical district configurations: A two-step global sensitivity analysis framework

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems