Sfoglia per Autore
Multi-Objective Bayesian Optimization Framework for CO₂ Injection Strategy Design: A Sleipner-Inspired Study
In corso di stampa Saeed, M; Eidsvik, J; Candelieri, A
When to Explore and When to Exploit: Adaptive Decisions in Bayesian Optimization
2026 Candelieri, A; Archetti, F; Seyedi, I
Resource Allocation via Bayesian Optimization in Wasserstein Spaces vs. Semi-Bandit Feedback
2026 Candelieri, A; Archetti, F; Seyedi, I; Ponti, A
Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate
2026 Saeed, M; Candelieri, A
Gromov–Wasserstein Meets Combinatorial Optimization: A Scalable Solver for the Capacitated Quadratic Assignment Problem
2026 Seyedi, I; Candelieri, A; Messina, E; Archetti, F
Bayesian Optimization for Categorical and Mixed Variables Using a Multinomial Logit Surrogate
2026 Saeed, M; Candelieri, A
e2HPO: Energy Efficient Hyperparameter Optimization via Energy-Aware Multiple Information Source Bayesian Optimization
2026 Candelieri, A; Signori, E
Fused Unbalanced Gromov–Wasserstein-Based Network Distributional Resilience Analysis for Critical Infrastructure Assessment
2026 Seyedi, I; Candelieri, A; Archetti, F
Decision Maker Preferences in Surrogate-Based Multi-objective Optimization: A Survey
2026 Amini, S; Candelieri, A; Van Nieuwenhuyse, I
Multi-objective Bayesian Optimization of CO₂ Storage Inspired by Sleipner Project
2025 Saeed, M; Candelieri, A; Eidsvik, J
MLE-Free Gaussian Process Based Bayesian Optimization
2025 Candelieri, A; Signori, E
A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows
2025 Candelieri, A; Ponti, A; Archetti, F
Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand
2025 Seyedi, I; Candelieri, A; Messina, E; Archetti, F
Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback
2025 Candelieri, A
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning
2025 Candelieri, A; Ponti, A; Archetti, F
Bayesian optimization, machine learning, and probabilistic numerics
2025 Archetti, F; Ponti, A; Candelieri, A; Sabbatella, A
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter
2025 Seyedi, I; Candelieri, A; Archetti, F
Bayesian optimization over the probability simplex
2025 Candelieri, A; Ponti, A; Archetti, F
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
2025 Candelieri, A; Ponti, A; Archetti, F
Prompt Optimization in Large Language Models
2024 Sabbatella, A; Ponti, A; Giordani, I; Candelieri, A; Archetti, F
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