Co-occurring keywords · papers mentioning both
Papers
Poincare Glove: Hyperbolic Word Embeddings
ICLR 2019
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
AISTATS 2019
Riemannian Adaptive Optimization Methods
ICLR 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds
ICML 2019
Riemannian batch normalization for SPD neural networks
NeurIPS 2019
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature
COLT 2019
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
AISTATS 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
NeurIPS 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds
COLT 2018
Coding Kendall's Shape Trajectories for 3D Action Recognition
CVPR 2018
High-Order Tensor Regularization With Application to Attribute Ranking
CVPR 2018
Inexact trust-region algorithms on Riemannian manifolds
NeurIPS 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
NeurIPS 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
AISTATS 2018
Riemannian Stochastic Recursive Gradient Algorithm
ICML 2018
Trajectory Optimization On Manifolds with Applications to SO(3) and R3XS2
RSS 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds
CVPR 2018
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
NeurIPS 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
ICML 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
CVPR 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
ICML 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
NeurIPS 2017
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
AISTATS 2017
Regression Uncertainty on the Grassmannian
AISTATS 2017
Riemannian approach to batch normalization
NeurIPS 2017