Cover Image

Feature Incremental Clustering with Generalization Bounds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jing, Hou, Chenping
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
by: Pham, Phu-Hoa, et al.
Published: (2026)

Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)

Tight Generalization Bounds for Large-Margin Halfspaces
by: Larsen, Kasper Green, et al.
Published: (2025)

PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime
by: Masegosa, Andrés R., et al.
Published: (2023)

Provable Generalization Bounds for Deep Neural Networks with Momentum-Adaptive Gradient Dropout
by: Safder, Adeel
Published: (2025)

An Upper Confidence Bound Approach to Estimating the Maximum Mean
by: Kun, Zhang, et al.
Published: (2024)

General Lower Bounds for Differentially Private Federated Learning with Arbitrary Public-Transcript Interactions
by: Li, Yicheng
Published: (2026)

Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
by: Larsen, Kasper Green, et al.
Published: (2025)

Characterizing the Generalization Error of Random Feature Regression with Arbitrary Data-Augmentation
by: Morisset, Lucas, et al.
Published: (2026)

Bayesian Cramér-Rao Bound Estimation with Score-Based Models
by: Crafts, Evan Scope, et al.
Published: (2023)

Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
by: Rodemann, Julian, et al.
Published: (2025)

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
by: Dandi, Yatin, et al.
Published: (2024)

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
by: Yu, Lijia, et al.
Published: (2024)

Optimal Lower Bounds for Online Multicalibration
by: Collina, Natalie, et al.
Published: (2026)

On the Natural Gradient of the Evidence Lower Bound
by: Ay, Nihat, et al.
Published: (2023)

Improved Algorithm and Bounds for Successive Projection
by: Jin, Jiashun, et al.
Published: (2024)

An Axiomatic Definition of Hierarchical Clustering
by: Arias-Castro, Ery, et al.
Published: (2024)

Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
by: Reeves, Galen
Published: (2025)

Adversarial Surrogate Risk Bounds for Binary Classification
by: Frank, Natalie S.
Published: (2025)

Bounds in Wasserstein Distance for Locally Stationary Processes
by: Tinio, Jan Nino G., et al.
Published: (2024)

Lower Bounds on the Size of Markov Equivalence Classes
by: Jahn, Erik, et al.
Published: (2025)

Bounding Neyman-Pearson Region with $f$-Divergences
by: Mullhaupt, Andrew, et al.
Published: (2025)

Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
by: Réveillard, William, et al.
Published: (2025)

Optimal Bounds for Tyler's M-Estimator for Elliptical Distributions
by: Lau, Lap Chi, et al.
Published: (2025)

Sharp Bounds for Poly-GNNs and the Effect of Graph Noise
by: Vinas, Luciano, et al.
Published: (2024)

Convergence of Statistical Estimators via Mutual Information Bounds
by: Khribch, El Mahdi, et al.
Published: (2024)

Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
by: Zhang, Anderson Y., et al.
Published: (2022)

On the Efficiency of ERM in Feature Learning
by: Hanchi, Ayoub El, et al.
Published: (2024)

Jointly Modeling and Clustering Tensors in High Dimensions
by: Cai, Biao, et al.
Published: (2021)

Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
by: Chen, Fan, et al.
Published: (2026)

Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries
by: Lee, Dongmin, et al.
Published: (2026)

Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
by: Adams, Reuben, et al.
Published: (2022)

Bounds in Wasserstein Distance for Locally Stationary Functional Time Series
by: Tinio, Jan Nino G., et al.
Published: (2025)

Refined Risk Bounds for Unbounded Losses via Transductive Priors
by: Qian, Jian, et al.
Published: (2024)

Tight Bounds for Schrödinger Potential Estimation in Unpaired Data Translation
by: Puchkin, Nikita, et al.
Published: (2025)

Sharp Risk Bounds for Early-Stopping in Gaussian Linear Regression
by: Wegel, Tobias, et al.
Published: (2025)

Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
by: Zhang, Kaihong, et al.
Published: (2024)

Asymptotic Theory of Geometric and Adaptive $k$-Means Clustering
by: Jaffe, Adam Quinn
Published: (2022)

Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks
by: Kurumadani, Yuki
Published: (2026)

Phase Transitions for Feature Learning in Neural Networks
by: Montanari, Andrea, et al.
Published: (2026)