A mathematical model for automatic differentiation in machine learning

3 June 2020

Papers citing "A mathematical model for automatic differentiation in machine learning"

15 / 15 papers shown

Title
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization Nachuan Xiao Kuang-Yu Ding Xiaoyin Hu Kim-Chuan Toh 37 2 0 15 Apr 2024
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions Siyuan Zhang Nachuan Xiao Xin Liu 61 1 0 18 Mar 2024
$ω$ PAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs Mathieu Huot Alexander K. Lew Vikash K. Mansinghka S. Staton 25 5 0 21 Feb 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee Sejun Park A. Aiken PINN 21 6 0 31 Jan 2023
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Jérôme Bolte Edouard Pauwels Antonio Silveti-Falls 26 13 0 15 Dec 2022
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments Michael R. Metel 38 1 0 09 Nov 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 35 3 0 05 Aug 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 31 9 0 10 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 23 22 0 31 May 2022
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis Jacob Leygonie Mathieu Carrière Théo Lacombe S. Oudot 21 9 0 01 Sep 2021
The structure of conservative gradient fields A. Lewis Tonghua Tian AI4CE 22 8 0 03 Jan 2021
Differentiable Programming à la Moreau Vincent Roulet Zaïd Harchaoui 23 5 0 31 Dec 2020
Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels 38 5 0 15 Jul 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 28 40 0 12 Jun 2020
An Inertial Newton Algorithm for Deep Learning Camille Castera Jérôme Bolte Cédric Févotte Edouard Pauwels PINN ODL 28 62 0 29 May 2019