Self-Supervised Primal-Dual Learning for Constrained Optimization

18 August 2022

Pascal Van Hentenryck

Papers citing "Self-Supervised Primal-Dual Learning for Constrained Optimization"

29 / 29 papers shown

Title
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning Vahid Eghbal Akhlaghi Reza Zandehshahvar Pascal Van Hentenryck 21 0 0 10 Apr 2025
Self-Supervised Penalty-Based Learning for Robust Constrained Optimization Wyame Benslimane Paul Grigas 36 0 0 07 Mar 2025
Towards graph neural networks for provably solving convex optimization problems Chendi Qian Christopher Morris 47 0 0 04 Feb 2025
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization Ke Deng Hanwen Zhang Jin Lu Haijian Sun 57 0 0 01 Feb 2025
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections Mohamed Fazli Mohamed Imam Rufael Fedaku Marew Jameel Hassan M. Fiaz Alham Fikri Aji Hisham Cholakkal VLM 71 0 0 28 Nov 2024
Generative Edge Detection with Stable Diffusion Caixia Zhou Yaping Huang Mochu Xiang Jiahui Ren Haibin Ling Jing Zhang 25 0 0 04 Oct 2024
Learning To Solve Differential Equation Constrained Optimization Problems Vincenzo Di Vito M. Mohammadian K. Baker Ferdinando Fioretto AI4CE 17 2 0 02 Oct 2024
Self-Supervised Learning of Iterative Solvers for Constrained Optimization Lukas Luken Sergio Lucia 13 0 0 12 Sep 2024
Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob Cristopher Pascal Van Hentenryck Ferdinando Fioretto 25 2 0 07 Sep 2024
Compact Optimality Verification for Optimization Proxies Wenbo Chen Haoruo Zhao Mathieu Tanneau Pascal Van Hentenryck 22 0 0 31 May 2024
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics Yifan Liu You Wang Guang Li 16 0 0 15 May 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models Shivvrat Arya Tahrima Rahman Vibhav Gogate TPM 16 1 0 17 Apr 2024
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming Ethan King James Kotary Ferdinando Fioretto Ján Drgoňa 24 2 0 01 Apr 2024
Learning Constrained Optimization with Deep Augmented Lagrangian Methods James Kotary Ferdinando Fioretto 19 4 0 06 Mar 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits Shivvrat Arya Tahrima Rahman Vibhav Gogate TPM 11 0 0 06 Feb 2024
Dual Lagrangian Learning for Conic Optimization Mathieu Tanneau Pascal Van Hentenryck 6 4 0 05 Feb 2024
Dual Interior Point Optimization Learning Michael Klamkin Mathieu Tanneau Pascal Van Hentenryck 16 2 0 04 Feb 2024
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow Seonho Park Pascal Van Hentenryck AI4CE 18 0 0 29 Nov 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 24 3 0 22 Nov 2023
Dual Conic Proxies for AC Optimal Power Flow Guancheng Qiu Mathieu Tanneau Pascal Van Hentenryck 18 7 0 04 Oct 2023
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks Ritesh Ojha Wenbo Chen Hanyu Zhang Reem Khir A. Erera Pascal Van Hentenryck 17 2 0 08 Jul 2023
AI4OPT: AI Institute for Advances in Optimization Pascal Van Hentenryck Kevin Dalmeijer 6 4 0 05 Jul 2023
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization Minsoo Kim Hongseok Kim 11 3 0 11 Jun 2023
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch Wenbo Chen Mathieu Tanneau Pascal Van Hentenryck 8 29 0 23 Apr 2023
Compact Optimization Learning for AC Optimal Power Flow Seonho Park Wenbo Chen Terrence W.K. Mak Pascal Van Hentenryck 7 16 0 21 Jan 2023
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments Seonho Park Wenbo Chen Dahyeon Han Mathieu Tanneau Pascal Van Hentenryck 20 27 0 28 Nov 2022
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method James Kotary Ferdinando Fioretto Pascal Van Hentenryck 23 20 0 12 Oct 2021
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning Minas Chatzos Terrence W.K. Mak Pascal Van Hentenryck AI4CE 29 38 0 17 Jan 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 76 198 0 19 Sep 2019