Saved in:
| Main Authors: | Perreault, Samuel, Duchesne, Thierry, Nešlehová, Johanna G. |
|---|---|
| Format: | Preprint |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1706.05940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustered Archimax Copulas
by: Chatelain, Simon, et al.
Published: (2022)
by: Chatelain, Simon, et al.
Published: (2022)
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)
by: Guo, Siyuan, et al.
Published: (2022)
Detection of Correlated Random Vectors
by: Elimelech, Dor, et al.
Published: (2024)
by: Elimelech, Dor, et al.
Published: (2024)
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
by: Jaffard, Sophie, et al.
Published: (2024)
by: Jaffard, Sophie, et al.
Published: (2024)
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Measures and Models of Non-Monotonic Dependence
by: McNeil, Alexander J., et al.
Published: (2025)
by: McNeil, Alexander J., et al.
Published: (2025)
Limiting Behavior of Maxima under Dependence
by: Herrmann, Klaus, et al.
Published: (2024)
by: Herrmann, Klaus, et al.
Published: (2024)
Strongly Consistent Community Detection in Popularity Adjusted Block Models
by: Yuan, Quan, et al.
Published: (2025)
by: Yuan, Quan, et al.
Published: (2025)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Proper scoring rules for estimation and forecast evaluation
by: Waghmare, Kartik, et al.
Published: (2025)
by: Waghmare, Kartik, et al.
Published: (2025)
Simple Relative Deviation Bounds for Covariance and Gram Matrices
by: Barzilai, Daniel, et al.
Published: (2024)
by: Barzilai, Daniel, et al.
Published: (2024)
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
by: de Surrel, Thibault, et al.
Published: (2025)
by: de Surrel, Thibault, et al.
Published: (2025)
Variational Tail Bounds for Norms of Random Vectors and Matrices
by: Bahmani, Sohail
Published: (2025)
by: Bahmani, Sohail
Published: (2025)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
by: Chun, Chanwoo, et al.
Published: (2024)
by: Chun, Chanwoo, et al.
Published: (2024)
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
by: Pandit, Parthe, et al.
Published: (2024)
by: Pandit, Parthe, et al.
Published: (2024)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
by: Cai, T. Tony, et al.
Published: (2024)
by: Cai, T. Tony, et al.
Published: (2024)
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
by: Ma, Zhengchi, et al.
Published: (2024)
by: Ma, Zhengchi, et al.
Published: (2024)
Adjacency Spectral Embeddings of Correlation Networks
by: Levin, Keith
Published: (2026)
by: Levin, Keith
Published: (2026)
Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities
by: Khanna, Shashaank, et al.
Published: (2023)
by: Khanna, Shashaank, et al.
Published: (2023)
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)
by: Chai, Shuwen, et al.
Published: (2024)
Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
by: Queric, Simon, et al.
Published: (2026)
by: Queric, Simon, et al.
Published: (2026)
Concentration Inequalities for Exchangeable Tensors and Matrix-valued Data
by: Cheng, Chen, et al.
Published: (2026)
by: Cheng, Chen, et al.
Published: (2026)
High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)
by: Su, Wu, et al.
Published: (2025)
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
by: Huang, Dong, et al.
Published: (2024)
by: Huang, Dong, et al.
Published: (2024)
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
by: Düngler, Johanna, et al.
Published: (2025)
by: Düngler, Johanna, et al.
Published: (2025)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
by: Ning, Ning
Published: (2022)
by: Ning, Ning
Published: (2022)
The Chi-Square Test of Distance Correlation
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
by: Carpentier, Alexandra, et al.
Published: (2025)
by: Carpentier, Alexandra, et al.
Published: (2025)
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
by: Dumitriu, Ioana, et al.
Published: (2021)
by: Dumitriu, Ioana, et al.
Published: (2021)
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
by: Dumitriu, Ioana, et al.
Published: (2023)
by: Dumitriu, Ioana, et al.
Published: (2023)
Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II)
by: Carpentier, Alexandra, et al.
Published: (2025)
by: Carpentier, Alexandra, et al.
Published: (2025)
Scaling Laws are Redundancy Laws
by: Bi, Yuda, et al.
Published: (2025)
by: Bi, Yuda, et al.
Published: (2025)
Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD
by: Lee, Sungdong, et al.
Published: (2024)
by: Lee, Sungdong, et al.
Published: (2024)
A Complete Decomposition of Stochastic Differential Equations
by: Duffield, Samuel
Published: (2026)
by: Duffield, Samuel
Published: (2026)
Statistical Inverse Problems in Hilbert Scales
by: Rastogi, Abhishake
Published: (2022)
by: Rastogi, Abhishake
Published: (2022)
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)
by: Pantazis, Konstantinos, et al.
Published: (2024)
Global Convergence in Training Large-Scale Transformers
by: Gao, Cheng, et al.
Published: (2024)
by: Gao, Cheng, et al.
Published: (2024)
Statistical Limits in Random Tensors with Multiple Correlated Spikes
by: Qi, Yang, et al.
Published: (2025)
by: Qi, Yang, et al.
Published: (2025)
Similar Items
-
Clustered Archimax Copulas
by: Chatelain, Simon, et al.
Published: (2022) -
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022) -
Detection of Correlated Random Vectors
by: Elimelech, Dor, et al.
Published: (2024) -
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
by: Jaffard, Sophie, et al.
Published: (2024) -
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)