conftrace_

matrix optimization

20 papers

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Co-occurring keywords

convex optimization (1321) gradient descent (1144) riemannian optimization (89) matrix completion (356) matrix exponentiated gradient (5) eigenvalue decomposition (33) low-rank approximation (323) non-convex optimization (547) online learning (1777) sparse signal recovery (24)

Papers

Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure JMLR 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NIPS 2024
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning ICML 2023
Neural Architecture Search of SPD Manifold Networks IJCAI 2021
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods NIPS 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021
Proximity Operator of the Matrix Perspective Function and its Applications NIPS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization NIPS 2020
Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition ICML 2017
Online PCA with Optimal Regret JMLR 2016
A Solution for Multi-Alignment by Transformation Synchronisation CVPR 2015
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph ICCV 2015
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014
Geometric optimisation on positive definite matrices for elliptically contoured distributions NIPS 2013
Penalty Decomposition Methods for Rank Minimization NIPS 2011
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods AISTATS 2011
On Learning Rotations NIPS 2009
Optimal Solutions for Sparse Principal Component Analysis JMLR 2008
Support Vector Machine Classification with Indefinite Kernels NIPS 2007