McTorch, a manifold optimization library for deep learning

McTorch, a manifold optimization library for deep learning

3 October 2018

Mayank Meghwanshi

Pratik Jawanpuria

Anoop Kunchukuttan

Papers citing "McTorch, a manifold optimization library for deep learning"

11 / 11 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 75 0 0 26 Mar 2025
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 38 17 0 25 Apr 2022
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning Buyun Liang Tim Mitchell Ju Sun 17 3 0 27 Nov 2021
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 37 10 0 30 Jul 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 21 38 0 01 Jun 2021
Manifold optimization for non-linear optimal transport problems Bamdev Mishra N. Satyadev Hiroyuki Kasai Pratik Jawanpuria OT 6 10 0 01 Mar 2021
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 28 17 0 11 Aug 2020
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu A. Dimakis Sujay Sanghavi Felix X. Yu D. Holtmann-Rice Dmitry Storcheus Afshin Rostamizadeh Sanjiv Kumar SSL 23 53 0 26 Jun 2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning Nina Miolane Johan Mathe Claire Donnat Mikael Jorda Xavier Pennec AI4CE 37 123 0 21 May 2018
Geometric Mean Metric Learning P. Zadeh Reshad Hosseini S. Sra 45 166 0 18 Jul 2016