Michele Lombardi
13 papers · 2018–2026 · 4 venues · across top CS/AI venues
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online algorithm
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machine learning
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deep learning
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computational complexity
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robust optimization
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function approximation
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multi-stage optimization
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convex optimization
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contrastive learning
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Papers
SMiLE: Provably Enforcing Global Relational Properties in Neural Networks
AAAI 2026
Language Models Are Implicitly Continuous
ICLR 2025
SMLE: Safe Machine Learning via Embedded Overapproximation
AAAI 2025
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method
IJCAI 2024
Computational Asymmetries in Robust Classification
ICML 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML
ICML 2023
Contrastive Losses and Solution Caching for Predict-and-Optimize
IJCAI 2021
Teaching the Old Dog New Tricks: Supervised Learning with Constraints
AAAI 2021
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty
IJCAI 2020
Anomaly Detection Using Autoencoders in High Performance Computing Systems
AAAI 2019
How to Tame Your Anticipatory Algorithm
IJCAI 2019
Boosting Combinatorial Problem Modeling with Machine Learning
IJCAI 2018
Methods for off-line/on-line optimization under uncertainty
IJCAI 2018