Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions

5 August 2022

Papers citing "Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions"

28 / 28 papers shown

Title
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 64 22 0 31 May 2022
Nonsmooth Implicit Differentiation for Machine Learning and Optimization Jérôme Bolte Tam Le Edouard Pauwels Antonio Silveti-Falls 43 55 0 08 Jun 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 74 27 0 04 May 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 174 233 0 23 Mar 2021
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 80 211 0 15 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 51 130 0 15 Jun 2020
A mathematical model for automatic differentiation in machine learning Jérôme Bolte Edouard Pauwels 35 68 0 03 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 362 1,967 0 11 Apr 2020
Total Deep Variation for Linear Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock 50 89 0 14 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 384 42,299 0 03 Dec 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 83 653 0 28 Oct 2019
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning Jérôme Bolte Edouard Pauwels 34 129 0 23 Sep 2019
Deep Equilibrium Models Shaojie Bai J. Zico Kolter V. Koltun 78 665 0 03 Sep 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 361 5,081 0 19 Jun 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 58 131 0 11 Feb 2018
Sensitivity Analysis for Mirror-Stratifiable Convex Functions M. Fadili J. Malick Gabriel Peyré 42 26 0 11 Jul 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 207 416 0 06 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 150 958 0 01 Mar 2017
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 223 3,205 0 15 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 415 18,334 0 27 May 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 95 449 0 07 Feb 2016
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 154 2,796 0 20 Feb 2015
Gradient-based Hyperparameter Optimization through Reversible Learning D. Maclaurin David Duvenaud Ryan P. Adams DD 215 944 0 11 Feb 2015
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection Charles-Alban Deledalle Samuel Vaiter M. Fadili Gabriel Peyré 59 118 0 06 May 2014
The Degrees of Freedom of Partly Smooth Regularizers Samuel Vaiter Charles-Alban Deledalle M. Fadili Gabriel Peyré C. Dossal 134 49 0 22 Apr 2014
Revisiting loss-specific training of filter-based MRFs for image restoration Yunjin Chen Thomas Pock René Ranftl Horst Bischof 58 64 0 16 Jan 2014
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 380 3,764 0 28 Jun 2007