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Riemannian optimization

Papers archive 2025-07-28

archive papers tagged: 153 · with a code link: 50 · where Syntology ran a sample: 11 (10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (11 of 153 tagged: 10 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 153 of 153, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Approximate Birkhoff-von-Neumann decomposition: a differentiable approach
  1 Jan 2021 0 repositories listed
• Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization
  31 Dec 2020 0 repositories listed
• Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient
  23 Oct 2020 0 repositories listed
• Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
  18 Aug 2020 0 repositories listed
• Riemannian stochastic recursive momentum method for non-convex optimization
  11 Aug 2020 0 repositories listed
• Representation Learning via Adversarially-Contrastive Optimal Transport
  11 Jul 2020 0 repositories listed
• Variance reduction for Riemannian non-convex optimization with batch size adaptation
  3 Jul 2020 0 repositories listed
• Projection Robust Wasserstein Distance and Riemannian Optimization
  12 Jun 2020 0 repositories listed
• Riemannian geometry for Compound Gaussian distributions: application to recursive change detection
  20 May 2020 0 repositories listed
• Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
  3 May 2020 0 repositories listed
• Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization
  25 Mar 2020 0 repositories listed
• Affinity guided Geometric Semi-Supervised Metric Learning
  27 Feb 2020 0 repositories listed
• Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
  4 Feb 2020 0 repositories listed
• Communication-Efficient Distributed PCA by Riemannian Optimization
  1 Jan 2020 0 repositories listed
• Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
  1 Jan 2020 0 repositories listed
• Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
  19 Nov 2019 0 repositories listed
• Coupling Matrix Manifolds and Their Applications in Optimal Transport
  15 Nov 2019 0 repositories listed
• Hyperbolic Node Embedding for Signed Networks
  29 Oct 2019 0 repositories listed
• GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
  16 Aug 2019 0 repositories listed
• Riemannian optimization on the simplex of positive definite matrices
  25 Jun 2019 0 repositories listed
• Optimal low rank tensor recovery
  12 Jun 2019 0 repositories listed
• Learning Mixed-Curvature Representations in Product Spaces
  1 May 2019 0 repositories listed
• Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints
  2 Mar 2019 0 repositories listed
• Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold
  11 Feb 2019 0 repositories listed
• Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold
  5 Feb 2019 0 repositories listed
• Hamiltonian Monte-Carlo for Orthogonal Matrices
  23 Jan 2019 0 repositories listed
• Learning Discriminative Video Representations Using Adversarial Perturbations
  1 Sep 2018 0 repositories listed
• Contrastive Video Representation Learning via Adversarial Perturbations
  24 Jul 2018 0 repositories listed
• Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
  1 Jul 2018 0 repositories listed
• Geometry Aware Constrained Optimization Techniques for Deep Learning
  1 Jun 2018 0 repositories listed
• Non-Linear Temporal Subspace Representations for Activity Recognition
  27 Mar 2018 0 repositories listed
• Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping
  9 Mar 2018 0 repositories listed
• Averaging Stochastic Gradient Descent on Riemannian Manifolds
  26 Feb 2018 0 repositories listed
• A dual framework for low-rank tensor completion
  4 Dec 2017 0 repositories listed
• Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective
  17 Nov 2017 0 repositories listed
• Learning Discriminative ab-Divergences for Positive Definite Matrices
  1 Oct 2017 0 repositories listed
• Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)
  5 Aug 2017 0 repositories listed
• Sequence Summarization Using Order-constrained Kernelized Feature Subspaces
  24 May 2017 0 repositories listed
• Generalized Rank Pooling for Activity Recognition
  7 Apr 2017 0 repositories listed
• A Manifold Approach to Learning Mutually Orthogonal Subspaces
  8 Mar 2017 0 repositories listed
• Learning an Invariant Hilbert Space for Domain Adaptation
  25 Nov 2016 0 repositories listed
• Riemannian Tensor Completion with Side Information
  12 Nov 2016 0 repositories listed
• Low-rank tensor completion: a Riemannian manifold preconditioning approach
  26 May 2016 0 repositories listed
• Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
  23 May 2016 0 repositories listed
• Matrix Manifold Optimization for Gaussian Mixtures
  1 Dec 2015 0 repositories listed
• Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices
  10 Jul 2015 0 repositories listed
• Manifold Optimization for Gaussian Mixture Models
  25 Jun 2015 0 repositories listed
• Riemannian preconditioning for tensor completion
  6 Jun 2015 0 repositories listed
• Convergence results for projected line-search methods on varieties of low-rank matrices via Łojasiewicz inequality
  21 Feb 2014 0 repositories listed
• Geometric optimisation on positive definite matrices for elliptically contoured distributions
  1 Dec 2013 0 repositories listed
• Manopt, a Matlab toolbox for optimization on manifolds
  23 Aug 2013 0 repositories listed
• R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
  11 Jun 2013 0 repositories listed
• Stochastic gradient descent on Riemannian manifolds
  22 Nov 2011 0 repositories listed