Imagen de Portada

Semisupervised regression in latent structure networks on unknown manifolds

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Acharyya, Aranyak, Agterberg, Joshua, Trosset, Michael W., Park, Youngser, Priebe, Carey E.
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Concentration bounds on response-based vector embeddings of black-box generative models
por: Acharyya, Aranyak, et al.
Publicado: (2025)

Consistent estimation of generative model representations in the data kernel perspective space
por: Acharyya, Aranyak, et al.
Publicado: (2024)

Convergence guarantees for response prediction for latent structure network time series
por: Acharyya, Aranyak, et al.
Publicado: (2025)

Statistical inference on black-box generative models in the data kernel perspective space
por: Helm, Hayden, et al.
Publicado: (2024)

Consistent response prediction for multilayer networks on unknown manifolds
por: Acharyya, Aranyak, et al.
Publicado: (2024)

Continuous Multidimensional Scaling
por: Trosset, Michael W., et al.
Publicado: (2024)

Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
por: Shen, Cencheng, et al.
Publicado: (2023)

Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
por: Trosset, Michael W., et al.
Publicado: (2025)

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
por: Chen, Shiyu, et al.
Publicado: (2025)

On the Incommensurability Phenomenon
por: Fishkind, Donniell E., et al.
Publicado: (2013)

Recovering manifold structure in LLM responses through a joint Euclidean mirror
por: Baum, Maximilian, et al.
Publicado: (2026)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
por: Pantazis, Konstantinos, et al.
Publicado: (2024)

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
por: Acharyya, Aranyak, et al.
Publicado: (2025)

Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
por: Shen, Cencheng, et al.
Publicado: (2023)

Principal Graph Encoder Embedding and Principal Community Detection
por: Shen, Cencheng, et al.
Publicado: (2025)

Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection
por: Shen, Cencheng, et al.
Publicado: (2014)

From Distance Correlation to Multiscale Graph Correlation
por: Shen, Cencheng, et al.
Publicado: (2017)

Euclidean mirrors and dynamics in network time series
por: Athreya, Avanti, et al.
Publicado: (2022)

Random line graphs and edge-attributed network inference
por: Lubberts, Zachary, et al.
Publicado: (2021)

Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models
por: Browder, Michael, et al.
Publicado: (2026)

Nonparametric two-sample hypothesis testing for low-rank random graphs of differing sizes
por: Agterberg, Joshua, et al.
Publicado: (2020)

Robust Vertex Classification
por: Chen, Li, et al.
Publicado: (2013)

Optimal control of the future via prospective learning with control
por: Bai, Yuxin, et al.
Publicado: (2025)

Decision Tree Embedding by Leaf-Means
por: Shen, Cencheng, et al.
Publicado: (2025)

One-Hot Graph Encoder Embedding
por: Shen, Cencheng, et al.
Publicado: (2021)

Black-box model classification under the discriminative factorization
por: Helm, Hayden, et al.
Publicado: (2026)

Euclidean mirrors and first-order changepoints in network time series
por: Chen, Tianyi, et al.
Publicado: (2024)

Comparing Foundation Models using Data Kernels
por: Duderstadt, Brandon, et al.
Publicado: (2023)

Tracking the perspectives of interacting language models
por: Helm, Hayden, et al.
Publicado: (2024)

Discovering and Deciphering Relationships Across Disparate Data Modalities
por: Vogelstein, Joshua T., et al.
Publicado: (2016)

Generalized Canonical Correlation Analysis for Classification
por: Shen, Cencheng, et al.
Publicado: (2013)

A Simple Spectral Failure Mode for Graph Convolutional Networks
por: Priebe, Carey E., et al.
Publicado: (2020)

Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
por: Shen, Cencheng, et al.
Publicado: (2015)

Query-efficient model evaluation using cached responses
por: Helm, Hayden, et al.
Publicado: (2026)

Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
por: Agterberg, Joshua, et al.
Publicado: (2022)

Distinguishability of causal structures under latent confounding and selection
por: Carey, Ryan, et al.
Publicado: (2025)

Control Charts for Multi-agent Systems
por: Helm, Hayden, et al.
Publicado: (2026)

Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
por: Shen, Cencheng, et al.
Publicado: (2025)

Approximately optimal domain adaptation with Fisher's Linear Discriminant
por: Helm, Hayden S., et al.
Publicado: (2023)

Universally Consistent K-Sample Tests via Dependence Measures
por: Panda, Sambit, et al.
Publicado: (2019)