Image de couverture de livre

SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bianco, Leonardo Martins, Keribin, Christine, Naulet, Zacharie
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
par: Gassiat, Elisabeth, et autres
Publié: (2023)

SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
par: Petcu, Roxana, et autres
Publié: (2026)

Optimal estimation of high-order missing masses, and the rare-type match problem
par: Favaro, Stefano, et autres
Publié: (2023)

Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
par: Naulet, Zacharie, et autres
Publié: (2021)

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
par: Lu, Shengyao, et autres
Publié: (2024)

Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
par: Shi, Haoming, et autres
Publié: (2025)

Stochastic Optimization with Random Search
par: Chayti, El Mahdi, et autres
Publié: (2025)

Fine-Tuning is Subgraph Search: A New Lens on Learning Dynamics
par: Li, Yueyan, et autres
Publié: (2025)

Efficient Generation of Hidden Outliers for Improved Outlier Detection
par: Cribeiro-Ramallo, Jose, et autres
Publié: (2024)

In Search of the Unknown Unknowns: A Multi-Metric Distance Ensemble for Out of Distribution Anomaly Detection in Astronomical Surveys
par: Chaini, Siddharth, et autres
Publié: (2025)

Multi-RF Fusion with Multi-GNN Blending for Molecular Property Prediction
par: Bugaud, Zacharie
Publié: (2026)

Robust Conformal Outlier Detection under Contaminated Reference Data
par: Bashari, Meshi, et autres
Publié: (2025)

Offline Local Search for Online Stochastic Bandits
par: Benadè, Gerdus, et autres
Publié: (2026)

Kernel Outlier Detection
par: Dağıdır, Can Hakan, et autres
Publié: (2025)

SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
par: Zhang, Jiying, et autres
Publié: (2024)

Search Your Block Floating Point Scales!
par: Gupta, Tanmaey, et autres
Publié: (2026)

Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
par: Zhang, Ning, et autres
Publié: (2024)

Doubly Outlier-Robust Online Infinite Hidden Markov Model
par: Yiu, Horace, et autres
Publié: (2026)

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples
par: Mirzaei, Hossein, et autres
Publié: (2025)

Robust Policy Search for Robot Navigation
par: Garcia-Barcos, Javier, et autres
Publié: (2020)

Corruption-Robust Lipschitz Contextual Search
par: Zuo, Shiliang
Publié: (2023)

Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier Profiles
par: Ghosh, Kushankur, et autres
Publié: (2024)

Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers (Extended Version)
par: Röchner, Philipp, et autres
Publié: (2024)

From Search To Sampling: Generative Models For Robust Algorithmic Recourse
par: Garg, Prateek, et autres
Publié: (2025)

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
par: Zhu, Qiuyu, et autres
Publié: (2025)

Deep Transductive Outlier Detection
par: Klüttermann, Simon, et autres
Publié: (2024)

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
par: Cheng, Nuojin, et autres
Publié: (2025)

ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
par: Cho, Seoyoung, et autres
Publié: (2024)

On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
par: Bhaskara, Aditya, et autres
Publié: (2024)

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
par: Kim, Dongha, et autres
Publié: (2023)

On the impossibility of detecting a late change-point in the preferential attachment random graph model
par: Kaddouri, Ibrahim, et autres
Publié: (2024)

Frontiers to the learning of nonparametric hidden Markov models
par: Abraham, Kweku, et autres
Publié: (2023)

Bayesian Nonparametric Inference for "Species-sampling" Problems
par: Balocchi, Cecilia, et autres
Publié: (2022)

Simple KNN-Based Outlier Detection Achieves Robust Clustering
par: Jiang, Tianle, et autres
Publié: (2026)

Dual Explanations via Subgraph Matching for Malware Detection
par: Shokouhinejad, Hossein, et autres
Publié: (2025)

Hierarchical Reference Sets for Robust Unsupervised Detection of Scattered and Clustered Outliers
par: Zhang, Yiqun, et autres
Publié: (2026)

SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
par: Su, Junwei, et autres
Publié: (2025)

Outlier Detection with Cluster Catch Digraphs
par: Shi, Rui, et autres
Publié: (2024)

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
par: Li, Hengzhuang, et autres
Publié: (2025)

Outlier-Robust Training of Machine Learning Models
par: Talak, Rajat, et autres
Publié: (2024)