Universal Graph Compression: Stochastic Block Models
Fuente:
arXiv
Saved in:
| Main Authors: | Bhatt, Alankrita, Wang, Ziao, Wang, Chi, Wang, Lele |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attributed Graph Alignment
by: Zhang, Ning, et al.
Published: (2021)
by: Zhang, Ning, et al.
Published: (2021)
An Algorithm for Streaming Differentially Private Data
by: Kumar, Girish, et al.
Published: (2024)
by: Kumar, Girish, et al.
Published: (2024)
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
by: Wang, Ziao, et al.
Published: (2023)
by: Wang, Ziao, et al.
Published: (2023)
On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies
by: Ryu, J. Jon, et al.
Published: (2022)
by: Ryu, J. Jon, et al.
Published: (2022)
Fundamental Limits of Spectral Clustering in Stochastic Block Models
by: Zhang, Anderson Ye
Published: (2023)
by: Zhang, Anderson Ye
Published: (2023)
On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment
by: Wang, Ziao, et al.
Published: (2022)
by: Wang, Ziao, et al.
Published: (2022)
Noisy Sorting Capacity
by: Wang, Ziao, et al.
Published: (2022)
by: Wang, Ziao, et al.
Published: (2022)
Optimal Online Bookmaking for Binary Games
by: Bhatt, Alankrita, et al.
Published: (2025)
by: Bhatt, Alankrita, et al.
Published: (2025)
Compressing integer lists with Contextual Arithmetic Trits
by: Barsamian, Yann, et al.
Published: (2022)
by: Barsamian, Yann, et al.
Published: (2022)
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
by: Zhang, Ning, et al.
Published: (2024)
by: Zhang, Ning, et al.
Published: (2024)
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
by: Zhang, Qihang, et al.
Published: (2025)
by: Zhang, Qihang, et al.
Published: (2025)
Universality of Approximate Message Passing algorithms and tensor networks
by: Wang, Tianhao, et al.
Published: (2022)
by: Wang, Tianhao, et al.
Published: (2022)
The Sample Complexity of Lossless Data Compression
by: Viaud, Terence, et al.
Published: (2026)
by: Viaud, Terence, et al.
Published: (2026)
Ambidextrous Degree Sequence Bounds for Pessimistic Cardinality Estimation
by: Lin, Yu-Ting, et al.
Published: (2025)
by: Lin, Yu-Ting, et al.
Published: (2025)
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)
by: Chai, Shuwen, et al.
Published: (2024)
Characterization of Exponential Families of Lumpable Stochastic Matrices
by: Watanabe, Shun, et al.
Published: (2024)
by: Watanabe, Shun, et al.
Published: (2024)
An Improved Lower Bound on Cardinality of Support of the Amplitude-Constrained AWGN Channel
by: Wang, Haiyang, et al.
Published: (2025)
by: Wang, Haiyang, et al.
Published: (2025)
Subspace Phase Retrieval
by: Xu, Mengchu, et al.
Published: (2022)
by: Xu, Mengchu, et al.
Published: (2022)
On Universality of Non-Separable Approximate Message Passing Algorithms
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Sparse Principal Component Analysis with Energy Profile Dependent Sample Complexity
by: Xu, Mengchu, et al.
Published: (2025)
by: Xu, Mengchu, et al.
Published: (2025)
Support Recovery and $\ell_2$-Error Bound for Sparse Regression with Quadratic Measurements via Weakly-Convex-Concave Regularization
by: Fan, Jun, et al.
Published: (2026)
by: Fan, Jun, et al.
Published: (2026)
Agnostic Sample Compression Schemes for Regression
by: Attias, Idan, et al.
Published: (2018)
by: Attias, Idan, et al.
Published: (2018)
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
by: Li, Gen, et al.
Published: (2023)
by: Li, Gen, et al.
Published: (2023)
Entropy of Exchangeable Random Graphs
by: Skeja, Anda, et al.
Published: (2023)
by: Skeja, Anda, et al.
Published: (2023)
Analysis of Age of Information for A Discrete-Time hybrid Dual-Queue System
by: Chen, Zhengchuan, et al.
Published: (2024)
by: Chen, Zhengchuan, et al.
Published: (2024)
Graph Quasirandomness for Hypothesis Testing of Stochastic Block Models
by: Bangachev, Kiril, et al.
Published: (2025)
by: Bangachev, Kiril, et al.
Published: (2025)
The SMART approach to instance-optimal online learning
by: Banerjee, Siddhartha, et al.
Published: (2024)
by: Banerjee, Siddhartha, et al.
Published: (2024)
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections
by: Bresler, Guy, et al.
Published: (2025)
by: Bresler, Guy, et al.
Published: (2025)
High-dimensional Clustering and Signal Recovery under Block Signals
by: Su, Wu, et al.
Published: (2025)
by: Su, Wu, et al.
Published: (2025)
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
by: Shi, Laixi, et al.
Published: (2023)
by: Shi, Laixi, et al.
Published: (2023)
Ternary Stochastic Geometry Theory for Performance Analysis of RIS-Assisted UDN
by: Lin, Hongchi, et al.
Published: (2023)
by: Lin, Hongchi, et al.
Published: (2023)
Large Deviations for Sequential Tests of Statistical Sequence Matching
by: Zhou, Lin, et al.
Published: (2025)
by: Zhou, Lin, et al.
Published: (2025)
Quantifying Multivariate Graph Dependencies: Theory and Estimation for Multiplex Graphs
by: Skeja, Anda, et al.
Published: (2024)
by: Skeja, Anda, et al.
Published: (2024)
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
by: Liu, Lei, et al.
Published: (2025)
by: Liu, Lei, et al.
Published: (2025)
Information Geometry Approach to Parameter Estimation in Hidden Markov Models
by: Hayashi, Masahito
Published: (2017)
by: Hayashi, Masahito
Published: (2017)
Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy
by: Suzuki, Atsushi, et al.
Published: (2025)
by: Suzuki, Atsushi, et al.
Published: (2025)
PANDA: Query Evaluation in Submodular Width
by: Khamis, Mahmoud Abo, et al.
Published: (2024)
by: Khamis, Mahmoud Abo, et al.
Published: (2024)
Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study
by: Qin, Qiaolin, et al.
Published: (2024)
by: Qin, Qiaolin, et al.
Published: (2024)
A Partial-Exclusion Repair Scheme for MDS Codes
by: Zhao, Wei, et al.
Published: (2026)
by: Zhao, Wei, et al.
Published: (2026)
The MAGIC of Data Management: Understanding the Value and Activities of Data Management
by: Lukyanenko, Roman
Published: (2024)
by: Lukyanenko, Roman
Published: (2024)
Similar Items
-
Attributed Graph Alignment
by: Zhang, Ning, et al.
Published: (2021) -
An Algorithm for Streaming Differentially Private Data
by: Kumar, Girish, et al.
Published: (2024) -
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
by: Wang, Ziao, et al.
Published: (2023) -
On Confidence Sequences for Bounded Random Processes via Universal Gambling Strategies
by: Ryu, J. Jon, et al.
Published: (2022) -
Fundamental Limits of Spectral Clustering in Stochastic Block Models
by: Zhang, Anderson Ye
Published: (2023)