Lombardi, Michele
- Lagrangian Duality for Constrained Deep Learning
2020/01/26 by Fioretto, Ferdinando, Van Hentenryck, Pascal, Mak, Terrence WK +3 · 14 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Contrastive Losses and Solution Caching for Predict-and-Optimize
2020/11/10 by Mulamba, Maxime, Mandi, Jayanta, Diligenti, Michelangelo +3 · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generalized Disparate Impact for Configurable Fairness Solutions in ML
2023/05/29 by Luca Giuliani, Giuliani, Luca, Eleonora Misino +3 · 6 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
2023/07/11 by Silvestri, Mattia, Berden, Senne, Mandi, Jayanta +4 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing
2023/09/22 by Lorenzo Cellini, Cellini, Lorenzo, Antonio Macaluso +3 · 3 citations
Engineering · Mathematics · #Advanced Optimization Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Optimization and Control (math.OC) #Optimization and Mathematical Programming #Optimization and Packing Problems #Quantum Physics (quant-ph)
- An Analysis of Regularized Approaches for Constrained Machine Learning
2020/05/20 by Lombardi, Michele, Baldo, Federico, Borghesi, Andrea +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens
2022/05/20 by Teso, Stefano, Bliek, Laurens, Borghesi, Andrea +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
2022/10/25 by Silvestri, Mattia, De Filippo, Allegra, Lombardi, Michele +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Language Models Are Implicitly Continuous
2025/04/04 by Marro, Samuele, Evangelista, Davide, Huang, X. Angelo +3 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #Machine Learning (cs.LG)