🏛️ The math.ST Crypt
math.ST: Where math.ST papers rest without their code.
712
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647
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Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation
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Exact recovery in the Ising blockmodel
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Block-diagonal covariance selection for high-dimensional Gaussian graphical models
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ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models
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Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids
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Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing
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Boolean Matrix Factorization and Noisy Completion via Message Passing
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Optimization by gradient boosting
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High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions
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Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
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Optimal Bounds between $f$-Divergences and Integral Probability Metrics
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Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
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A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives
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A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules
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Multiclass Classification, Information, Divergence, and Surrogate Risk
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Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits
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Towards Machine Wald
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The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
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The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property
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Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices
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Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
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Geometric k-nearest neighbor estimation of entropy and mutual information
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