LPGD: A General Framework for Backpropagation through Embedded Optimization Layers

8 July 2024

Papers citing "LPGD: A General Framework for Backpropagation through Embedded Optimization Layers"

8 / 8 papers shown

Title
RandALO: Out-of-sample risk estimation in no time flat Parth Nobel Daniel LeJeune Emmanuel J. Candès 25 3 0 15 Sep 2024
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths Ming Xu Sourav Garg Michael Milford Stephen Gould AI4TS 35 4 0 19 Mar 2023
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 24 14 0 03 Oct 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 33 8 0 11 Sep 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 44 59 0 02 Jul 2022
Learning Energy Networks with Generalized Fenchel-Young Losses Mathieu Blondel Felipe Llinares-López Robert Dadashi Léonard Hussenot M. Geist 33 6 0 19 May 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 50 69 0 09 Nov 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 364 0 10 Mar 2020