:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Mengda, Li, Zeng, Yao, Jianfeng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.25460
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generalized Mean Approach for Distributed-PCA
by: Jou, Zhi-Yu, et al.
Published: (2024)

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift
by: Li, Bochao, et al.
Published: (2026)

Stochastic Mean-Shift Clustering
by: Lapidot, Itshak, et al.
Published: (2025)

Mean-Shift Distillation for Diffusion Mode Seeking
by: Thamizharasan, Vikas, et al.
Published: (2025)

Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)

Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)

Doubly Stochastic Mean-Shift Clustering
by: Trigano, Tom, et al.
Published: (2026)

Convergence Analysis of Blurring Mean Shift
by: Yamasaki, Ryoya, et al.
Published: (2024)

Anomaly Detection via Mean Shift Density Enhancement
by: Kar, Pritam, et al.
Published: (2026)

Knockoffs Inference under Privacy Constraints
by: Cai, Zhanrui, et al.
Published: (2025)

Local Cluster Cardinality Estimation for Adaptive Mean Shift
by: Pepin, Étienne
Published: (2025)

Sequential Knockoffs for Variable Selection in Reinforcement Learning
by: Ma, Tao, et al.
Published: (2023)

ARK: Robust Knockoffs Inference with Coupling
by: Fan, Yingying, et al.
Published: (2023)

Convergence and clustering analysis for Mean Shift with radially symmetric, positive definite kernels
by: Pal, Susovan
Published: (2025)

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
by: Zhang, Yikun, et al.
Published: (2021)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
by: Zeng, Dengfei, et al.
Published: (2024)

Adaptive Fuzzy C-Means with Graph Embedding
by: Chen, Qiang, et al.
Published: (2024)

RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
by: Nguyen, The-Hai, et al.
Published: (2025)

Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
by: Zhang, Hansong, et al.
Published: (2023)

Exploration-free Algorithms for Multi-group Mean Estimation
by: Wei, Ziyi, et al.
Published: (2025)

Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection
by: Zhang, Xiaochen, et al.
Published: (2025)

Riemannian MeanFlow
by: Woo, Dongyeop, et al.
Published: (2026)

Bandits with Mean Bounds
by: Sharma, Nihal, et al.
Published: (2020)

Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces
by: Hemdanou, Abderrafik Laakel, et al.
Published: (2025)

Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces
by: Pratihar, Arghya, et al.
Published: (2025)

Distributional Bellman Operators over Mean Embeddings
by: Wenliang, Li Kevin, et al.
Published: (2023)

GRIP2: A Robust and Powerful Deep Knockoff Method for Feature Selection
by: Zou, Bob Junyi, et al.
Published: (2026)

Taming Epilepsy: Mean Field Control of Whole-Brain Dynamics
by: Li, Ming, et al.
Published: (2026)

Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents
by: Li, Wenhao, et al.
Published: (2026)

The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging
by: Ambekar, Sameer, et al.
Published: (2026)

Breathing K-Means: Superior K-Means Solutions through Dynamic K-Values
by: Fritzke, Bernd
Published: (2020)

Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
by: Fan, Yingying, et al.
Published: (2025)

DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
by: Ge, Heng, et al.
Published: (2025)

Differentially Private Model-X Knockoffs via Johnson-Lindenstrauss Transform
by: Tao, Yuxuan, et al.
Published: (2025)

Functional Mean Flow in Hilbert Space
by: Li, Zhiqi, et al.
Published: (2025)

Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
by: Zeng, Sihan, et al.
Published: (2025)

Sampling from the Mean-Field Stationary Distribution
by: Kook, Yunbum, et al.
Published: (2024)

High-Accuracy List-Decodable Mean Estimation
by: Chen, Ziyun, et al.
Published: (2025)

What Understanding Means in AI-Laden Astronomy
by: Ting, Yuan-Sen, et al.
Published: (2026)