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🏛️ The math.ST Crypt
math.ST: Where math.ST papers rest without their code.
712
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Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation
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Subspace Leakage Analysis and Improved DOA Estimation with Small Sample Size
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Fast Mean Estimation with Sub-Gaussian Rates
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Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
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Concentration Inequalities for Statistical Inference
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Optimal rates of entropy estimation over Lipschitz balls
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Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization
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Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
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A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-$\ell_1$-Norm Interpolated Classifiers
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Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
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The Lasso with general Gaussian designs with applications to hypothesis testing
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Phase retrieval in high dimensions: Statistical and computational phase transitions
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Subexponential-Time Algorithms for Sparse PCA
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Generalized Cramer-Rao Bound for Joint Estimation of Target Position and Velocity for Active and Passive Radar Networks
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Minimax Optimal Rates of Estimation in High Dimensional Additive Models: Universal Phase Transition
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Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
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Outlier Robust Mean Estimation with Subgaussian Rates via Stability
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Local Private Hypothesis Testing: Chi-Square Tests
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Distances between probability distributions of different dimensions
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Efficient constrained sampling via the mirror-Langevin algorithm
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Nonparametric Density Estimation under Adversarial Losses
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Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
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