Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 20 di 135
Titolo Tipologia Data di pubblicazione Autori File
Decision Maker Preferences in Surrogate-Based Multi-objective Optimization: A Survey 02 - Intervento a convegno 2026 Candelieri A. +
Fused Unbalanced Gromov–Wasserstein-Based Network Distributional Resilience Analysis for Critical Infrastructure Assessment 01 - Articolo su rivista 2026 Seyedi, ImanCandelieri, AntonioArchetti, Francesco
e2HPO: Energy Efficient Hyperparameter Optimization via Energy-Aware Multiple Information Source Bayesian Optimization 02 - Intervento a convegno 2026 Candelieri A. +
MLE-Free Gaussian Process Based Bayesian Optimization 02 - Intervento a convegno 2025 Candelieri A.Signori E.
A Constrained-JKO Scheme for Effective and Efficient Wasserstein Gradient Flows 02 - Intervento a convegno 2025 Candelieri A.Ponti A.Archetti F.
Distributionally Robust Bayesian Optimization via Sinkhorn-Based Wasserstein Barycenter 01 - Articolo su rivista 2025 Seyedi I.Candelieri A.Archetti F.
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels 01 - Articolo su rivista 2025 Candelieri A.Ponti A.Archetti F.
Multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning 02 - Intervento a convegno 2025 Candelieri A.Ponti A.Archetti F.
Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback 02 - Intervento a convegno 2025 Candelieri A.
Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand 01 - Articolo su rivista 2025 Seyedi I.Candelieri A.Messina E.Archetti F.
Bayesian optimization over the probability simplex 01 - Articolo su rivista 2025 Candelieri A.Ponti A.Archetti F.
Bayesian optimization, machine learning, and probabilistic numerics 02 - Intervento a convegno 2025 Archetti F.Ponti A.Candelieri A. +
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network 01 - Articolo su rivista 2024 Candelieri, A +
Multi-model forecasting for finance 03 - Contributo in libro 2024 Candelieri A. +
Bayesian Optimization for Instruction Generation 01 - Articolo su rivista 2024 Sabbatella A.Archetti F.Ponti A.Giordani I.Candelieri A.
Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures 01 - Articolo su rivista 2024 Sabbatella A.Ponti A.Candelieri A.Archetti F.
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization 01 - Articolo su rivista 2024 Candelieri, APonti, AArchetti, F
Prompt Optimization in Large Language Models 01 - Articolo su rivista 2024 Sabbatella A.Ponti A.Giordani I.Candelieri A.Archetti F.
Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning 01 - Articolo su rivista 2024 Crippa A.Candelieri A.Mauri M. +
Wasserstein-Enabled Leaks Localization in Water Distribution Networks 01 - Articolo su rivista 2024 Ponti, AGiordani, ICandelieri, AArchetti, F
Mostrati risultati da 1 a 20 di 135
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile