:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Grimm, Markus, Paul, Sébastien, Chainais, Pierre
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.02551
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Signal reconstruction using determinantal sampling
by: Belhadji, Ayoub, et al.
Published: (2023)

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
by: Petit, Sébastien, et al.
Published: (2022)

qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
by: Renganathan, Ashwin, et al.
Published: (2023)

TS-RSR: A provably efficient approach for batch Bayesian Optimization
by: Ren, Zhaolin, et al.
Published: (2024)

Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
by: Brevault, Loic, et al.
Published: (2023)

Multi-fidelity approaches for general constrained Bayesian optimization with application to aircraft design
by: Cordelier, Oihan, et al.
Published: (2026)

A constrained optimization approach to improve robustness of neural networks
by: Zhao, Shudian, et al.
Published: (2024)

Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling
by: Abulawi, Zaid, et al.
Published: (2024)

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
by: Grapin, Robin, et al.
Published: (2025)

Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes
by: Langdon, Becky, et al.
Published: (2026)

Physically constrained unfolded multi-dimensional OMP for large MIMO systems
by: Klaimi, Nay, et al.
Published: (2026)

Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
by: Park, Kyeonghyeon, et al.
Published: (2025)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Constrained multi-fidelity Bayesian optimization with automatic stop condition
by: Foumani, Zahra Zanjani, et al.
Published: (2025)

Supervised Multiple Kernel Learning approaches for multi-omics data integration
by: Briscik, Mitja, et al.
Published: (2024)

BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification
by: Lu, Yen-An, et al.
Published: (2024)

The feasibility of multi-graph alignment: a Bayesian approach
by: Vassaux, Louis, et al.
Published: (2025)

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025)

Functional-prior-based approaches to Bayesian PDE-constrained inversion using physics-informed neural networks
by: Agata, Ryoichiro, et al.
Published: (2026)

Direct transfer of optimized controllers to similar systems using dimensionless MPC
by: Hromatko, Josip Kir, et al.
Published: (2025)

Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025)

Bayesian dynamic scheduling of multipurpose batch processes under incomplete look-ahead information
by: Zheng, Taicheng, et al.
Published: (2025)

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
by: Chen, Hao, et al.
Published: (2021)

Techno-economic optimization of a heat-pipe microreactor, part II: multi-objective optimization analysis
by: Seurin, Paul, et al.
Published: (2026)

Powerful batch conformal prediction for classification
by: Gazin, Ulysse, et al.
Published: (2024)

Dual-space posterior sampling for Bayesian inference in constrained inverse problems
by: Siahkoohi, Ali, et al.
Published: (2026)

The inexact power augmented Lagrangian method for constrained nonconvex optimization
by: Bodard, Alexander, et al.
Published: (2024)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)

Cost-constrained multi-label group feature selection using shadow features
by: Klonecki, Tomasz, et al.
Published: (2024)

Respecting the limit:Bayesian optimization with a bound on the optimal value
by: Wang, Hanyang, et al.
Published: (2024)

Block majorization-minimization with diminishing radius for constrained nonsmooth nonconvex optimization
by: Lyu, Hanbaek, et al.
Published: (2020)

Group-blind optimal transport to group parity and its constrained variants
by: Zhou, Quan, et al.
Published: (2023)

Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
by: Li, Yuchen, et al.
Published: (2023)

Differentiable Turbulence: Closure as a partial differential equation constrained optimization
by: Shankar, Varun, et al.
Published: (2023)

A safe exploration approach to constrained Markov decision processes
by: Ni, Tingting, et al.
Published: (2023)

Bayesian optimization as a flexible and efficient design framework for sustainable process systems
by: Paulson, Joel A., et al.
Published: (2024)

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
by: Bu, Zhiqi, et al.
Published: (2024)

Physics-Informed GNN for non-linear constrained optimization: PINCO a solver for the AC-optimal power flow
by: Varbella, Anna, et al.
Published: (2024)

Mini-batch Submodular Maximization
by: Schwartzman, Gregory
Published: (2024)

The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
by: Li, Jichu, et al.
Published: (2026)