Non-parametric Online Change Point Detection on Riemannian Manifolds
No official code found. Best implementation: xiuheng-wang/CPD_manifold_release (7 stars, MIT, last commit 2025-05-05).
No official code found. Best implementation: xiuheng-wang/CPD_manifold_release (7 stars, MIT, last commit 2025-05-05).
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits
Pretrained Bayesian Non-parametric Knowledge Prior in Robotic Long-Horizon Reinforcement Learning
Starting from Non-Parametric Networks for 3D Point Cloud Analysis
NeuMatC: A General Neural Framework for Fast Parametric Matrix Operation
PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
@article{wang2026nonparametric,
title = {Non-parametric Online Change Point Detection on Riemannian Manifolds},
author = {Xiuheng Wang and R. Borsoi and Cédric Richard},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:2cd6cb8236ec890e6379816aebc18828edd57755},
journal = {ICML 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/2cd6cb8236ec890e6379816aebc18828edd57755)