Lagrangian Duality for Constrained Deep Learning

Lagrangian Duality for Constrained Deep Learning

26 January 2020

Ferdinando Fioretto

Pascal Van Hentenryck

Terrence W.K. Mak

Papers citing "Lagrangian Duality for Constrained Deep Learning"

18 / 18 papers shown

Title
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 61 0 0 04 Feb 2025
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 46 3 0 29 Aug 2024
Near-Optimal Solutions of Constrained Learning Problems Juan Elenter Luiz F. O. Chamon Alejandro Ribeiro 26 5 0 18 Mar 2024
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework Mitchell Keegan Mahdi Abolghasemi 64 0 0 06 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 47 3 0 22 Nov 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 37 10 0 04 Jun 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani Eleonora Misino M. Lombardi 30 3 0 29 May 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 43 4 0 19 May 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 40 6 0 25 Mar 2023
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 34 2 0 24 Nov 2022
Policy Learning for Nonlinear Model Predictive Control with Application to USVs Rizhong Wang Huiping Li Bin Liang Yang Shi Deming Xu 27 20 0 18 Nov 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 31 10 0 29 Sep 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 48 39 0 26 May 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey Ferdinando Fioretto Cuong Tran Pascal Van Hentenryck Keyu Zhu FaML 37 61 0 16 Feb 2022
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 48 52 0 17 Sep 2021
Tree-Constrained Graph Neural Networks For Argument Mining Federico Ruggeri Marco Lippi Paolo Torroni 28 3 0 02 Sep 2021
Controlling Neural Networks with Rule Representations Sungyong Seo Sercan O. Arik Jinsung Yoon Xiang Zhang Kihyuk Sohn Tomas Pfister OOD AI4CE 32 35 0 14 Jun 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 81 199 0 19 Sep 2019