Convergence guarantees for response prediction for latent structure network time series
Fuente:
arXiv
Saved in:
| Main Authors: | Acharyya, Aranyak, Passino, Francesco Sanna, Trosset, Michael W., Priebe, Carey E. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semisupervised regression in latent structure networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2023)
by: Acharyya, Aranyak, et al.
Published: (2023)
Recovering manifold structure in LLM responses through a joint Euclidean mirror
by: Baum, Maximilian, et al.
Published: (2026)
by: Baum, Maximilian, et al.
Published: (2026)
Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024)
by: Acharyya, Aranyak, et al.
Published: (2024)
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025)
by: Acharyya, Aranyak, et al.
Published: (2025)
Consistent estimation of generative model representations in the data kernel perspective space
by: Acharyya, Aranyak, et al.
Published: (2024)
by: Acharyya, Aranyak, et al.
Published: (2024)
Online Bayesian changepoint detection for network Poisson processes with community structure
by: Corneck, Joshua, et al.
Published: (2024)
by: Corneck, Joshua, et al.
Published: (2024)
Statistical hypothesis testing for differences between layers in dynamic multiplex networks
by: Baum, Maximilian, et al.
Published: (2025)
by: Baum, Maximilian, et al.
Published: (2025)
Spectral embedding of inhomogeneous Poisson processes on multiplex networks
by: Corneck, Joshua, et al.
Published: (2026)
by: Corneck, Joshua, et al.
Published: (2026)
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)
by: Pantazis, Konstantinos, et al.
Published: (2024)
Doubly unfolded adjacency spectral embedding of dynamic multiplex graphs
by: Baum, Maximilian, et al.
Published: (2024)
by: Baum, Maximilian, et al.
Published: (2024)
Euclidean mirrors and dynamics in network time series
by: Athreya, Avanti, et al.
Published: (2022)
by: Athreya, Avanti, et al.
Published: (2022)
Factor-Driven Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2025)
by: Martin, Brendan, et al.
Published: (2025)
Continuous Multidimensional Scaling
by: Trosset, Michael W., et al.
Published: (2024)
by: Trosset, Michael W., et al.
Published: (2024)
Concentration bounds on response-based vector embeddings of black-box generative models
by: Acharyya, Aranyak, et al.
Published: (2025)
by: Acharyya, Aranyak, et al.
Published: (2025)
NIRVAR: Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2024)
by: Martin, Brendan, et al.
Published: (2024)
Simultaneous global and local clustering in multiplex networks with covariate information
by: Corneck, Joshua, et al.
Published: (2025)
by: Corneck, Joshua, et al.
Published: (2025)
Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)
by: Chen, Tianyi, et al.
Published: (2024)
Dynamic networks clustering via mirror distance
by: Zheng, Runbing, et al.
Published: (2024)
by: Zheng, Runbing, et al.
Published: (2024)
Query-efficient model evaluation using cached responses
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation
by: Tang, Runshi, et al.
Published: (2025)
by: Tang, Runshi, et al.
Published: (2025)
When prompt perturbations break your A/B test: A valid statistical test for generative surveying
by: Helm, Hayden, et al.
Published: (2026)
by: Helm, Hayden, et al.
Published: (2026)
Occam Factor for Random Graphs: Erdös-Rényi, Independent Edge, and Rank-1 Stochastic Blockmodel
by: Wang, Tianyu, et al.
Published: (2023)
by: Wang, Tianyu, et al.
Published: (2023)
Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)
by: Lee, Youjin, et al.
Published: (2017)
Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)
by: Duderstadt, Brandon, et al.
Published: (2023)
Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
by: Alyakin, Anton A., et al.
Published: (2020)
by: Alyakin, Anton A., et al.
Published: (2020)
Vertex misalignment and changepoint localization in network time series
by: Chen, Tianyi, et al.
Published: (2026)
by: Chen, Tianyi, et al.
Published: (2026)
Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
by: Shen, Cencheng, et al.
Published: (2018)
by: Shen, Cencheng, et al.
Published: (2018)
Random line graphs and edge-attributed network inference
by: Lubberts, Zachary, et al.
Published: (2021)
by: Lubberts, Zachary, et al.
Published: (2021)
Statistical inference on black-box generative models in the data kernel perspective space
by: Helm, Hayden, et al.
Published: (2024)
by: Helm, Hayden, et al.
Published: (2024)
Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs
by: Pang, Lingyou, et al.
Published: (2025)
by: Pang, Lingyou, et al.
Published: (2025)
A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat
by: Kunst, Jonathan F., et al.
Published: (2026)
by: Kunst, Jonathan F., et al.
Published: (2026)
Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
by: Trosset, Michael W., et al.
Published: (2025)
by: Trosset, Michael W., et al.
Published: (2025)
Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
by: Lee, Jonghyeok, et al.
Published: (2025)
by: Lee, Jonghyeok, et al.
Published: (2025)
Conformal prediction with local weights: randomization enables local guarantees
by: Hore, Rohan, et al.
Published: (2023)
by: Hore, Rohan, et al.
Published: (2023)
Modeling large dimensional matrix time series with partially known and latent factors
by: Hui, Yongchang, et al.
Published: (2024)
by: Hui, Yongchang, et al.
Published: (2024)
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
by: Wang, Tianyu, et al.
Published: (2025)
by: Wang, Tianyu, et al.
Published: (2025)
The co-varying ties between networks and item responses via latent variables
by: Wang, Selena, et al.
Published: (2024)
by: Wang, Selena, et al.
Published: (2024)
A latent space model for multivariate count data time series analysis
by: Kaur, Hardeep, et al.
Published: (2024)
by: Kaur, Hardeep, et al.
Published: (2024)
Approximating full conformal prediction: distribution free guarantees via the tournament correction
by: Bhattacharyya, Aabesh, et al.
Published: (2026)
by: Bhattacharyya, Aabesh, et al.
Published: (2026)
Phylogenetic latent space models for network data
by: Pavone, Federico, et al.
Published: (2025)
by: Pavone, Federico, et al.
Published: (2025)
Similar Items
-
Semisupervised regression in latent structure networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2023) -
Recovering manifold structure in LLM responses through a joint Euclidean mirror
by: Baum, Maximilian, et al.
Published: (2026) -
Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024) -
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025) -
Consistent estimation of generative model representations in the data kernel perspective space
by: Acharyya, Aranyak, et al.
Published: (2024)