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Geometry

720 papers

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Papers

A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport NIPS 2019
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NIPS 2019
The Geometry of Deep Networks: Power Diagram Subdivision NIPS 2019
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Escaping from saddle points on Riemannian manifolds NIPS 2019
Selecting the independent coordinates of manifolds with large aspect ratios NIPS 2019
Efficiently escaping saddle points on manifolds NIPS 2019
Dimensionality reduction: theoretical perspective on practical measures NIPS 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NIPS 2019
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NIPS 2019
Don't take it lightly: Phasing optical random projections with unknown operators NIPS 2019
Visualizing the PHATE of Neural Networks NIPS 2019
On the Curved Geometry of Accelerated Optimization NIPS 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019
On Geometric Alignment in Low Doubling Dimension AAAI 2019
Computing the Yolk in Spatial Voting Games without Computing Median Lines AAAI 2019
Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019
Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable AAAI 2019
High Dimensional Clustering with r-nets AAAI 2019
Hyperbolic Heterogeneous Information Network Embedding AAAI 2019
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019
Hyperbolic Ordinal Embedding ACML 2019
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Large-Margin Classification in Hyperbolic Space AISTATS 2019