Copertina

Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jin, Dian, Zhang, Yuqian, Zhang, Qiaosheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Misclassification Rate and Privacy-Utility Trade-offs in Graph Convolutional Networks via Subsampling Stability
di: Zhang, Yexin, et al.
Pubblicazione: (2026)

One-shot Robust Federated Learning of Independent Component Analysis
di: Jin, Dian, et al.
Pubblicazione: (2025)

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
di: Ma, Zhongtian, et al.
Pubblicazione: (2024)

Matrix Completion with Hypergraphs:Sharp Thresholds and Efficient Algorithms
di: Ma, Zhongtian, et al.
Pubblicazione: (2024)

Optimal vintage factor analysis with deflation varimax
di: Bing, Xin, et al.
Pubblicazione: (2023)

A Fast Convergence Theory for Offline Decision Making
di: Mao, Chenjie, et al.
Pubblicazione: (2024)

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning
di: Zhang, Qiaosheng, et al.
Pubblicazione: (2024)

Community Detection in the Multi-View Stochastic Block Model
di: Zhang, Yexin, et al.
Pubblicazione: (2024)

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling
di: Qi, Han, et al.
Pubblicazione: (2025)

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
di: Dadalto, Eduardo, et al.
Pubblicazione: (2023)

Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
di: Mia, Maraz, et al.
Pubblicazione: (2024)

Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion
di: Li, Dongxu, et al.
Pubblicazione: (2024)

Efficient Contextual Bandits with Uninformed Feedback Graphs
di: Zhang, Mengxiao, et al.
Pubblicazione: (2024)

Graph Feedback Bandits on Similar Arms: With and Without Graph Structures
di: Qi, Han, et al.
Pubblicazione: (2025)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
di: Goyal, Tanmay, et al.
Pubblicazione: (2025)

Rotational Sampling: A Plug-and-Play Encoder for Rotation-Invariant 3D Molecular GNNs
di: Jin, Dian
Pubblicazione: (2025)

Misclassification excess risk bounds for 1-bit matrix completion
di: Mai, The Tien
Pubblicazione: (2023)

RAT: Boosting Misclassification Detection Ability without Extra Data
di: Yan, Ge, et al.
Pubblicazione: (2025)

Gated Graph Attention Networks with Learnable Temperature
di: Ma, Zhongtian, et al.
Pubblicazione: (2026)

Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
di: Li, Mengmeng, et al.
Pubblicazione: (2025)

Activation Compression in LLMs: Theoretical Analysis and Efficient Algorithm
di: Wei, Wen-Da, et al.
Pubblicazione: (2026)

Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
di: Capelli, Lorenzo, et al.
Pubblicazione: (2025)

The Art of Misclassification: Too Many Classes, Not Enough Points
di: Franco, Mario, et al.
Pubblicazione: (2025)

Misclassification bounds for PAC-Bayesian sparse deep learning
di: Mai, The Tien
Pubblicazione: (2024)

A Misclassification Network-Based Method for Comparative Genomic Analysis
di: He, Wan, et al.
Pubblicazione: (2024)

Learning with Shared Representations: Statistical Rates and Efficient Algorithms
di: Niu, Xiaochun, et al.
Pubblicazione: (2024)

On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
di: Cui, Jingyi, et al.
Pubblicazione: (2025)

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
di: Pham, Thai-Hoang, et al.
Pubblicazione: (2024)

The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
di: Sikar, Daniel, et al.
Pubblicazione: (2024)

Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss
di: Mai, The Tien
Pubblicazione: (2024)

Contextual Learning for Anomaly Detection in Tabular Data
di: King, Spencer, et al.
Pubblicazione: (2025)

Distributed Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower bounds
di: Yang, Sifan, et al.
Pubblicazione: (2026)

Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
di: Jin, Dian, et al.
Pubblicazione: (2025)

High-dimensional semi-supervised learning: in search for optimal inference of the mean
di: Zhang, Yuqian, et al.
Pubblicazione: (2019)

Online Preference Alignment for Language Models via Count-based Exploration
di: Bai, Chenjia, et al.
Pubblicazione: (2025)

Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
di: Jin, Dian, et al.
Pubblicazione: (2026)

Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
di: Ye, Chenlu, et al.
Pubblicazione: (2022)

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
di: Ye, Chenlu, et al.
Pubblicazione: (2025)

Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
di: Rammal, Ahmad, et al.
Pubblicazione: (2023)

Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data
di: Ramli, Muhammad Sukri Bin
Pubblicazione: (2025)