Co-occurring keywords · papers mentioning both
Papers
Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry
AAAI 2026
Hyperbolic Prototypical Entailment Cones for Image Classification
AISTATS 2025
Meta-Learning for Adaptive Control with Automated Mirror Descent
L4DC 2025
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
NeurIPS 2024
Exploring Data Geometry for Continual Learning
CVPR 2023
Geodesic Self-Attention for 3D Point Clouds
NeurIPS 2022
Non-Euclidean Self-Organizing Maps
IJCAI 2022
Anderson Acceleration of Proximal Gradient Methods
ICML 2020
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
EMNLP 2020
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
NeurIPS 2019
A new metric on the manifold of kernel matrices with application to matrix geometric means
NeurIPS 2012
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds
NeurIPS 2011