:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Strang, Paul, Alès, Zacharie, Bissuel, Côme, Juan, Olivier, Kedad-Sidhoum, Safia, Rachelson, Emmanuel
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2510.04273
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Markov Decision Process for Variable Selection in Branch & Bound
por: Strang, Paul, et al.
Publicado: (2025)

Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
por: Strang, Paul, et al.
Publicado: (2025)

Finite adaptability in two-stage robust optimization: asymptotic optimality and tractability
por: Kedad-Sidhoum, Safia, et al.
Publicado: (2023)

Solving robust MDPs as a sequence of static RL problems
por: Zouitine, Adil, et al.
Publicado: (2024)

Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
por: Lodi, Andrea, et al.
Publicado: (2019)

Adaptive multi-fidelity optimization with fast learning rates
por: Fiegel, Come, et al.
Publicado: (2026)

RRLS : Robust Reinforcement Learning Suite
por: Zouitine, Adil, et al.
Publicado: (2024)

Time-Constrained Robust MDPs
por: Zouitine, Adil, et al.
Publicado: (2024)

Bootstrapping Expectiles in Reinforcement Learning
por: Clavier, Pierre, et al.
Publicado: (2024)

Exploration by Running Away from the Past
por: Tolguenec, Paul-Antoine Le, et al.
Publicado: (2024)

Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform
por: Klausmann, Tim, et al.
Publicado: (2024)

Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction
por: Bugaud, Zacharie
Publicado: (2026)

An upper bound on the silhouette evaluation metric for clustering
por: Sträng, Hugo, et al.
Publicado: (2025)

Learning Abstract World Models with a Group-Structured Latent Space
por: Delliaux, Thomas, et al.
Publicado: (2025)

Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality
por: Triantafyllou, Niki, et al.
Publicado: (2024)

Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?
por: Xu, Zhoubo, et al.
Publicado: (2021)

An Active Inference perspective on Neurofeedback Training
por: Annicchiarico, Côme, et al.
Publicado: (2025)

Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces
por: Gouraud, Nicolaï, et al.
Publicado: (2026)

Learning to optimize: A tutorial for continuous and mixed-integer optimization
por: Chen, Xiaohan, et al.
Publicado: (2024)

SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
por: Bianco, Leonardo Martins, et al.
Publicado: (2025)

Convex mixed-integer optimization with Frank-Wolfe methods
por: Hendrych, Deborah, et al.
Publicado: (2022)

Learning-augmented smooth integer programs with PAC-learnable oracles
por: He, Hao-Yuan, et al.
Publicado: (2026)

Multifidelity Gaussian process regression for solving nonlinear partial differential equations
por: El-Boukkouri, Fatima-Zahrae, et al.
Publicado: (2026)

Buffered AUC maximization for scoring systems via mixed-integer optimization
por: Shiina, Moe, et al.
Publicado: (2026)

Generalization bounds for mixing processes via delayed online-to-PAC conversions
por: Abeles, Baptiste, et al.
Publicado: (2024)

Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier
por: Fiegel, Come, et al.
Publicado: (2026)

The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
por: Fiegel, Côme, et al.
Publicado: (2026)

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks
por: Corlouer, Guillaume, et al.
Publicado: (2026)

Computable universal online learning
por: Kalociński, Dariusz, et al.
Publicado: (2025)

Importance sampling for online variational learning
por: Chagneux, Mathis, et al.
Publicado: (2024)

Simple online learning with consistent oracle
por: Kozachinskiy, Alexander, et al.
Publicado: (2023)

Boosting-inspired online learning with transfer for railway maintenance
por: Risca, Diogo, et al.
Publicado: (2025)

An efficient mixed-integer linear programming formulation for solving influence diagrams
por: Terho, Topias, et al.
Publicado: (2026)

Analyzing the numerical correctness of branch-and-bound decisions for mixed-integer programming
por: Hoen, Alexander, et al.
Publicado: (2024)

Balancing optimism and pessimism in offline-to-online learning
por: Sentenac, Flore, et al.
Publicado: (2025)

Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
por: Fayyaz, Hamed, et al.
Publicado: (2024)

Adaptive collaboration for online personalized distributed learning with heterogeneous clients
por: Philippenko, Constantin, et al.
Publicado: (2025)

A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data
por: Sankaranarayanan, Madhav, et al.
Publicado: (2023)

Tightening the mixed integer linear formulation for the piecewise linear approximation in general dimensions
por: Ploussard, Quentin, et al.
Publicado: (2025)

Adaptive prediction theory combining offline and online learning
por: Li, Haizheng, et al.
Publicado: (2025)