
ReedMuller Codes Achieve Capacity on BMS Channels
This paper considers the performance of long ReedMuller (RM) codes tran...
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Rankone matrix estimation with groupwise heteroskedasticity
We study the problem of estimating a rankone matrix from Gaussian obser...
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Convergence of Gaussiansmoothed optimal transport distance with subgamma distributions and dependent samples
The Gaussiansmoothed optimal transport (GOT) framework, recently propos...
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The Gaussian equivalence of generative models for learning with twolayer neural networks
Understanding the impact of data structure on learning in neural network...
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InformationTheoretic Limits for the Matrix Tensor Product
This paper studies a highdimensional inference problem involving the ma...
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Informationtheoretic limits of a multiview lowrank symmetric spiked matrix model
We consider a generalization of an important class of highdimensional i...
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Gaussian Approximation of Quantization Error for Estimation from Compressed Data
We consider the distributional connection between the lossy compressed r...
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AllorNothing Phenomena: From SingleLetter to High Dimensions
We consider the linear regression problem of estimating a pdimensional ...
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Mutual Information in Community Detection with Covariate Information and Correlated Networks
We study the problem of community detection when there is covariate info...
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Gaussian Mixture Models for Stochastic Block Models with NonVanishing Noise
Community detection tasks have received a lot of attention across statis...
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Approximating posteriors with highdimensional nuisance parameters via integrated rotated Gaussian approximation
Posterior computation for highdimensional data with many parameters can...
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The Geometry of Community Detection via the MMSE Matrix
The informationtheoretic limits of community detection have been studie...
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Understanding Phase Transitions via Mutual Information and MMSE
The ability to understand and solve highdimensional inference problems ...
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The AllorNothing Phenomenon in Sparse Linear Regression
We study the problem of recovering a hidden binary ksparse pdimensiona...
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Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms
Multilayer (or deep) networks are powerful probabilistic models based on...
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Classification and Reconstruction of HighDimensional Signals from LowDimensional Features in the Presence of Side Information
This paper offers a characterization of fundamental limits on the classi...
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Galen Reeves
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