Saved in:
| Main Authors: | Di Teodoro, Giulia, Monaci, Marta, Palagi, Laura |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2302.07580 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
by: Coppola, Corrado, et al.
Published: (2024)
by: Coppola, Corrado, et al.
Published: (2024)
CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization
by: Coppola, Corrado, et al.
Published: (2023)
by: Coppola, Corrado, et al.
Published: (2023)
Convergence of ease-controlled Random Reshuffling gradient Algorithms under Lipschitz smoothness
by: Seccia, Ruggiero, et al.
Published: (2022)
by: Seccia, Ruggiero, et al.
Published: (2022)
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks
by: Stops, Laura, et al.
Published: (2022)
by: Stops, Laura, et al.
Published: (2022)
A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
by: Befekadu, Getachew K.
Published: (2024)
by: Befekadu, Getachew K.
Published: (2024)
Derivative-free tree optimization for complex systems
by: Wei, Ye, et al.
Published: (2024)
by: Wei, Ye, et al.
Published: (2024)
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data
by: Sankaranarayanan, Madhav, et al.
Published: (2023)
by: Sankaranarayanan, Madhav, et al.
Published: (2023)
Physics-Aware Multifidelity Bayesian Optimization: a Generalized Formulation
by: Di Fiore, Francesco, et al.
Published: (2023)
by: Di Fiore, Francesco, et al.
Published: (2023)
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
by: Li, Jialin, et al.
Published: (2024)
by: Li, Jialin, et al.
Published: (2024)
Feature selection in linear SVMs via a hard cardinality constraint: a scalable SDP decomposition approach
by: Bomze, Immanuel, et al.
Published: (2024)
by: Bomze, Immanuel, et al.
Published: (2024)
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
by: Emine, Youssouf, et al.
Published: (2024)
by: Emine, Youssouf, et al.
Published: (2024)
Non-Myopic Multifidelity Bayesian Optimization
by: Di Fiore, Francesco, et al.
Published: (2022)
by: Di Fiore, Francesco, et al.
Published: (2022)
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
by: Li, Yuchen, et al.
Published: (2023)
by: Li, Yuchen, et al.
Published: (2023)
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
by: Wang, Hanyang, et al.
Published: (2025)
by: Wang, Hanyang, et al.
Published: (2025)
Soft regression trees: a model variant and a decomposition training algorithm
by: Consolo, Antonio, et al.
Published: (2025)
by: Consolo, Antonio, et al.
Published: (2025)
PACE: Prune-And-Compress Ensemble Models
by: Akkerman, Fabian, et al.
Published: (2026)
by: Akkerman, Fabian, et al.
Published: (2026)
A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming
by: Bonasera, Lorenzo, et al.
Published: (2024)
by: Bonasera, Lorenzo, et al.
Published: (2024)
On characterizing optimal learning trajectories in a class of learning problems
by: Befekadu, Getachew K
Published: (2025)
by: Befekadu, Getachew K
Published: (2025)
Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
by: Forel, Alexandre, et al.
Published: (2022)
by: Forel, Alexandre, et al.
Published: (2022)
Subsampled Ensemble Can Improve Generalization Tail Exponentially
by: Qian, Huajie, et al.
Published: (2024)
by: Qian, Huajie, et al.
Published: (2024)
Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms
by: Martin, Andrea, et al.
Published: (2025)
by: Martin, Andrea, et al.
Published: (2025)
Learning to reoptimize: a GNN-aided fix-and-optimize approach and an application to the Lot Sizing problem
by: Lerouge, Mathieu, et al.
Published: (2026)
by: Lerouge, Mathieu, et al.
Published: (2026)
Learning to optimize: A tutorial for continuous and mixed-integer optimization
by: Chen, Xiaohan, et al.
Published: (2024)
by: Chen, Xiaohan, et al.
Published: (2024)
Combinatorial Approaches for Embedded Feature Selection in Nonlinear SVMs
by: D'Onofrio, Federico, et al.
Published: (2025)
by: D'Onofrio, Federico, et al.
Published: (2025)
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
by: Paulson, Joel A., et al.
Published: (2024)
by: Paulson, Joel A., et al.
Published: (2024)
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems
by: Bao, Feng, et al.
Published: (2023)
by: Bao, Feng, et al.
Published: (2023)
LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
by: Si, Phillip, et al.
Published: (2026)
by: Si, Phillip, et al.
Published: (2026)
Soft decision trees for survival analysis
by: Consolo, Antonio, et al.
Published: (2025)
by: Consolo, Antonio, et al.
Published: (2025)
A simple uniformly optimal method without line search for convex optimization
by: Li, Tianjiao, et al.
Published: (2023)
by: Li, Tianjiao, et al.
Published: (2023)
Solving a class of stochastic optimal control problems by physics-informed neural networks
by: Jiao, Zhe, et al.
Published: (2024)
by: Jiao, Zhe, et al.
Published: (2024)
Time-optimal neural feedback control of nilpotent systems as a binary classification problem
by: Bicego, Sara, et al.
Published: (2025)
by: Bicego, Sara, et al.
Published: (2025)
What price to pay? Auto-tuning a building MPC controller for optimal economic cost
by: Yu, Jiarui, et al.
Published: (2025)
by: Yu, Jiarui, et al.
Published: (2025)
Revealing design archetypes and flexibility in e-molecule import pathways using Modeling to Generate Alternatives and interpretable machine learning
by: Kchaou, Mahdi, et al.
Published: (2025)
by: Kchaou, Mahdi, et al.
Published: (2025)
BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification
by: Lu, Yen-An, et al.
Published: (2024)
by: Lu, Yen-An, et al.
Published: (2024)
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
by: Renganathan, Ashwin, et al.
Published: (2023)
by: Renganathan, Ashwin, et al.
Published: (2023)
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
by: Mayfrank, Daniel, et al.
Published: (2024)
by: Mayfrank, Daniel, et al.
Published: (2024)
Nesterov Acceleration for Ensemble Kalman Inversion and Variants
by: Vernon, Sydney, et al.
Published: (2025)
by: Vernon, Sydney, et al.
Published: (2025)
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
by: Yan, Yu-Hu, et al.
Published: (2023)
by: Yan, Yu-Hu, et al.
Published: (2023)
Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks
by: Bernardelli, Ambrogio Maria, et al.
Published: (2022)
by: Bernardelli, Ambrogio Maria, et al.
Published: (2022)
Bridging conformal prediction and scenario optimization
by: O'Sullivan, Niall, et al.
Published: (2025)
by: O'Sullivan, Niall, et al.
Published: (2025)
Similar Items
-
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
by: Coppola, Corrado, et al.
Published: (2024) -
CMA Light: a novel Minibatch Algorithm for large-scale non convex finite sum optimization
by: Coppola, Corrado, et al.
Published: (2023) -
Convergence of ease-controlled Random Reshuffling gradient Algorithms under Lipschitz smoothness
by: Seccia, Ruggiero, et al.
Published: (2022) -
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks
by: Stops, Laura, et al.
Published: (2022) -
A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
by: Befekadu, Getachew K.
Published: (2024)