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Graphical Models, Exponential Families, and Variational Inference

Foundations and trends in machine learning, 2008, Vol.1 (1–2), p.1-305

2008

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Deep generative modeling for single-cell transcriptomics

Nature methods, 2018-12, Vol.15 (12), p.1053-1058

2018

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A variational perspective on accelerated methods in optimization

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (47), p.E7351-E7358

2016

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Skilful nowcasting of extreme precipitation with NowcastNet

Nature (London), 2023-07, Vol.619 (7970), p.526-532

2023

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Minimax Optimal Procedures for Locally Private Estimation

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.182-201

2018

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HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

2020 IEEE Symposium on Security and Privacy (SP), 2020, p.1277-1294

2020

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Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Molecular systems biology, 2021-01, Vol.17 (1), p.e9620-n/a

2021

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Computational and statistical tradeoffs via convex relaxation

Proceedings of the National Academy of Sciences - PNAS, 2013-03, Vol.110 (13), p.E1181-E1190

2013

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Understanding the acceleration phenomenon via high-resolution differential equations

Mathematical programming, 2022-09, Vol.195 (1-2), p.79-148

2022

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Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization

IEEE transactions on information theory, 2010-11, Vol.56 (11), p.5847-5861

2010

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The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies

Journal of the ACM, 2010, Vol.57 (2), p.1-30

2010

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SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION

The Annals of statistics, 2011-02, Vol.39 (1), p.1-47

2011

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Joint covariate selection and joint subspace selection for multiple classification problems

Statistics and computing, 2010-04, Vol.20 (2), p.231-252

2010

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Iterative Discovery of Multiple AlternativeClustering Views

IEEE transactions on pattern analysis and machine intelligence, 2014-07, Vol.36 (7), p.1340-1353

2014

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Optimal feedback control as a theory of motor coordination

Nature neuroscience, 2002-11, Vol.5 (11), p.1226-1235

2002

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Privacy Aware Learning

Journal of the ACM, 2014-11, Vol.61 (6), p.1-57

2014

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Genomic privacy and limits of individual detection in a pool

Nature genetics, 2009-09, Vol.41 (9), p.965-967

2009

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Bayesian Nonparametric Inference of Switching Dynamic Linear Models

IEEE transactions on signal processing, 2011-04, Vol.59 (4), p.1569-1585

2011

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Transferable Representation Learning with Deep Adaptation Networks

IEEE transactions on pattern analysis and machine intelligence, 2019-12, Vol.41 (12), p.3071-3085

2019

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An Introduction to MCMC for Machine Learning

Machine learning, 2003-01, Vol.50 (1-2), p.5-43

2003

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A Direct Formulation for Sparse PCA Using Semidefinite Programming

SIAM review, 2007-09, Vol.49 (3), p.434-448

2007

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Deep generative modeling for single-cell transcriptomics

Nature methods, 2018-12, Vol.15 (12), p.1053

2018

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Communication-Efficient Distributed Statistical Inference

Journal of the American Statistical Association, 2019-04, Vol.114 (526), p.668-681

2019

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A statistical framework for genomic data fusion

Bioinformatics, 2004-11, Vol.20 (16), p.2626-2635

2004

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Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process model

PLoS computational biology, 2010-04, Vol.6 (4), p.e1000763-e1000763

2010

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Graphical Models, Exponential Families, and Variational Inference

Deep generative modeling for single-cell transcriptomics

A variational perspective on accelerated methods in optimization

Skilful nowcasting of extreme precipitation with NowcastNet

Minimax Optimal Procedures for Locally Private Estimation

HopSkipJumpAttack: A Query-Efficient Decision-Based Attack

Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Computational and statistical tradeoffs via convex relaxation

Understanding the acceleration phenomenon via high-resolution differential equations

Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization

The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies

SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION

Joint covariate selection and joint subspace selection for multiple classification problems

Iterative Discovery of Multiple AlternativeClustering Views

Optimal feedback control as a theory of motor coordination

Privacy Aware Learning

Genomic privacy and limits of individual detection in a pool

Bayesian Nonparametric Inference of Switching Dynamic Linear Models

Transferable Representation Learning with Deep Adaptation Networks

An Introduction to MCMC for Machine Learning

A Direct Formulation for Sparse PCA Using Semidefinite Programming

Deep generative modeling for single-cell transcriptomics

Communication-Efficient Distributed Statistical Inference

A statistical framework for genomic data fusion

Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process model

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