🏛️ The math.ST Crypt
math.ST: Where math.ST papers rest without their code.
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Dualizing Le Cam's method for functional estimation, with applications to estimating the unseens
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Is it easier to count communities than find them?
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Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities
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Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
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Analysis of Diffusion Models for Manifold Data
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Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians
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Fundamental Limits of Spectral Clustering in Stochastic Block Models
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A Statistical Perspective on Coreset Density Estimation
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Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data
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Hypothesis testing with low-degree polynomials in the Morris class of exponential families
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Atomic subgraphs and the statistical mechanics of networks
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The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
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Rank-one Multi-Reference Factor Analysis
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A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound
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Estimation of Monge Matrices
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Sparse PCA from Sparse Linear Regression
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From Gauss to Kolmogorov: Localized Measures of Complexity for Ellipses
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Statistical test for detecting community structure in real-valued edge-weighted graphs
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Simulation-based, Finite-sample Inference for Privatized Data
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The Power of Two Matrices in Spectral Algorithms for Community Recovery
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What Makes A Good Fisherman? Linear Regression under Self-Selection Bias
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Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
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