Florentina Bunea

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning large softmax mixtures with warm start EM	2024	Xin Bing Florentina Bunea Jonathan Niles‐Weed Marten Wegkamp
+ PDF Chat	Detecting approximate replicate components of a high-dimensional random vector with latent structure	2023	Xin Bing Florentina Bunea Marten Wegkamp
+	Asymptotic confidence sets for random linear programs	2023	Shuyu Liu Florentina Bunea Jonathan Niles‐Weed
+ PDF Chat	Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations	2022	Xin Bing Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+ PDF Chat	Inference in latent factor regression with clusterable features	2022	Xin Bing Florentina Bunea Marten Wegkamp
+	Estimation and inference for the Wasserstein distance between mixing measures in topic models	2022	Xin Bing Florentina Bunea Jonathan Niles‐Weed
+	Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations	2021	Xin Bing Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+ PDF Chat	Adaptive estimation in structured factor models with applications to overlapping clustering	2020	Xin Bing Florentina Bunea Yang Ning Marten Wegkamp
+ PDF Chat	A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	2020	Xin Bing Florentina Bunea Marten Wegkamp
+	Interpolation under latent factor regression models	2020	Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+	Interpolating Predictors in High-Dimensional Factor Regression	2020	Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+ PDF Chat	Model assisted variable clustering: Minimax-optimal recovery and algorithms	2020	Florentina Bunea Christophe Giraud Xi Luo Martin Royer Nicolas Verzélen
+	Optimal estimation of sparse topic models	2020	Xin Bing Florentina Bunea Marten Wegkamp
+	High-Dimensional Inference for Cluster-Based Graphical Models	2020	Carson Eisenach Florentina Bunea Ning Yang Claudiu Dinicu
+	Prediction in latent factor regression: Adaptive PCR and beyond	2020	Xin Bing Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+	Optimal estimation of sparse topic models	2020	Xin Bing Florentina Bunea Marten Wegkamp
+	Detecting approximate replicate components of a high-dimensional random vector with latent structure	2020	Xin Bing Florentina Bunea Marten Wegkamp
+	Interpolating Predictors in High-Dimensional Factor Regression	2020	Florentina Bunea Seth Strimas-Mackey Marten Wegkamp
+	Essential regression	2019	Xin Bing Florentina Bunea Marten Wegkamp Seth Strimas-Mackey
+	Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension	2019	Florentina Bunea Angelika Rohde Patrick J. Wolfe Harrison H. Zhou
+	Inference in latent factor regression with clusterable features	2019	Xin Bing Florentina Bunea Marten Wegkamp
+ PDF Chat	Model-assisted variable clustering: minimax-optimal recovery and algorithms	2018	Florentina Bunea Christophe Giraud Xi Luo Martin Royer Nicolas Verzélen
+	A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	2018	Xin Bing Florentina Bunea Marten Wegkamp
+	High-Dimensional Inference for Cluster-Based Graphical Models	2018	Carson Eisenach Florentina Bunea Yang Ning Claudiu Dinicu
+	Overlapping Variable Clustering with Statistical Guarantees	2017	Florentina Bunea Yang Ning Marten Wegkamp
+	Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering	2017	Xin Bing Florentina Bunea Yang Ning Marten Wegkamp
+	PECOK: a convex optimization approach to variable clustering	2016	Florentina Bunea Christophe Giraud Martin Royer Nicolas Verzélen
+	Community estimation in $G$-models via CORD	2015	Florentina Bunea Christophe Giraud Xi Luo
+	Minimax Optimal Variable Clustering in G-models via Cord	2015	Florentina Bunea Christophe Giraud Xi Luo
+	Minimax Optimal Variable Clustering in G-Block Correlation Models via Cord	2015	Florentina Bunea Christophe Giraud Xi Luo
+ PDF Chat	Convex Banding of the Covariance Matrix	2015	Jacob Bien Florentina Bunea Luo Xiao
+	On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA	2015	Florentina Bunea Luo Xiao
+	Model Assisted Variable Clustering: Minimax-optimal Recovery and Algorithms	2015	Florentina Bunea Christophe Giraud X. L. Luo Martin Royer Nicolas Verzélen
+	On the theoretic and practical merits of the banding estimator for large covariance matrices	2014	Luo Xiao Florentina Bunea
+	Convex Banding of the Covariance Matrix	2014	Jacob Bien Florentina Bunea Luo Xiao
+ PDF Chat	The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms	2013	Florentina Bunea Johannes Lederer Yiyuan She
+	The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms	2013	Florentina Bunea Johannes Lederer Yiyuan She
+	Joint variable and rank selection for parsimonious estimation of high-dimensional matrices	2012	Florentina Bunea Yiyuan She Marten Wegkamp
+ PDF Chat	Optimal selection of reduced rank estimators of high-dimensional matrices	2011	Florentina Bunea Yiyuan She Marten Wegkamp
+	Adaptive Inference for the Mean of a Gaussian Process in Functional Data	2011	Florentina Bunea Andrada E. Ivanescu Marten Wegkamp
+	Adaptive inference for the mean of a Gaussian process in functional data Series B Statistical methodology	2011	Florentina Bunea Andrada E. Ivanescu Marten Wegkamp
+ PDF Chat	Penalized least squares regression methods and applications to neuroimaging	2010	Florentina Bunea Yiyuan She Hernando Ombao Assawin Gongvatana Kate Devlin Ronald A. Cohen
+ PDF Chat	SPADES and mixture models	2010	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp Adrian Barbu
+	Adaptive Rank Penalized Estimators in Multivariate Regression	2010	Florentina Bunea Yiyuan She Marten Wegkamp
+	Adaptive inference for the mean of a stochastic process in functional data	2009	Florentina Bunea Marten Wegkamp Andrada E. Ivanescu
+	Dimension reduction and variable selection in case control studies via regularized likelihood optimization	2009	Florentina Bunea Adrian Barbu
+ PDF Chat	Dimension reduction and variable selection in case control studies via regularized likelihood optimization	2009	Florentina Bunea Adrian Barbu
+	Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean	2008	Florentina Bunea Andrew B. Nobel
+ PDF Chat	Consistent selection via the Lasso for high dimensional approximating regression models	2008	Florentina Bunea
+ PDF Chat	Honest variable selection in linear and logistic regression models via ℓ1 and ℓ1+ℓ2 penalization	2008	Florentina Bunea
+ PDF Chat	Aggregation for Gaussian regression	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp
+	Sparse Density Estimation with ℓ1 Penalties	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp
+	A Model Selection Approach to Semiparametric Regression	2007	Florentina Bunea lodel
+ PDF Chat	Sparsity oracle inequalities for the Lasso	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp
+	Aggregation and Sparsity Via ℓ1 Penalized Least Squares	2006	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp
+	Consistent variable selection in high dimensional regression via multiple testing	2005	Florentina Bunea Marten Wegkamp Anna L. Auguste
+	Functional Classification in Hilbert Spaces	2005	Gérard Biau Florentina Bunea Marten Wegkamp
+ PDF Chat	Two‐stage model selection procedures in partially linear regression	2004	Florentina Bunea Marten Wegkamp
+ PDF Chat	Consistent covariate selection and post model selection inference in semiparametric regression	2004	Florentina Bunea
+	Aggregation for Regression Learning	2004	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp
+	Covariate selection for semiparametric hazard function regression models	2003	Florentina Bunea Ian W. McKeague
+ PDF Chat	A note on penalized minimum distance estimation in nonparametric regression	2003	Florentina Bunea Marten Wegkamp
+	MCMC in 𝐼×𝐽×𝐾 contingency tables	2000	Florentina Bunea Julian Besag

Common Coauthors

Coauthor	Papers Together
Marten Wegkamp	35
Xin Bing	14
Christophe Giraud	7
Seth Strimas-Mackey	7
Yiyuan She	6
Alexandre B. Tsybakov	6
Xi Luo	5
Martin Royer	4
Nicolas Verzélen	4
Yang Ning	4
Luo Xiao	4
Andrada E. Ivanescu	3
Jonathan Niles‐Weed	3
Adrian Barbu	3
Claudiu Dinicu	2
Xin Bing	2
Jacob Bien	2
Carson Eisenach	2
Johannes Lederer	2
Harrison H. Zhou	1
Hernando Ombao	1
Ronald A. Cohen	1
Andrew B. Nobel	1
Julian Besag	1
Anna L. Auguste	1
Assawin Gongvatana	1
Patrick J. Wolfe	1
X. L. Luo	1
Kate Devlin	1
lodel	1
Shuyu Liu	1
Ning Yang	1
Gérard Biau	1
Angelika Rohde	1
Ian W. McKeague	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Model selection in nonparametric regression	2003	Marten Wegkamp	10
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	10
+ PDF Chat	Risk bounds for model selection via penalization	1999	Andrew R. Barron Lucien Birgé Pascal Massart	10
+	On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA	2015	Florentina Bunea Luo Xiao	9
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	9
+ PDF Chat	Aggregation for Gaussian regression	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	8
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	7
+	Optimal Rates of Aggregation	2003	Alexandre B. Tsybakov	7
+ PDF Chat	Model assisted variable clustering: Minimax-optimal recovery and algorithms	2020	Florentina Bunea Christophe Giraud Xi Luo Martin Royer Nicolas Verzélen	7
+ PDF Chat	Consistent covariate selection and post model selection inference in semiparametric regression	2004	Florentina Bunea	7
+ PDF Chat	Large Covariance Estimation by Thresholding Principal Orthogonal Complements	2013	Jianqing Fan Yuan Liao Martina Mincheva	6
+ PDF Chat	Convex Banding of the Covariance Matrix	2015	Jacob Bien Florentina Bunea Luo Xiao	6
+ PDF Chat	Optimal selection of reduced rank estimators of high-dimensional matrices	2011	Florentina Bunea Yiyuan She Marten Wegkamp	6
+ PDF Chat	High-dimensional generalized linear models and the lasso	2008	Sara A. van de Geer	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	6
+ PDF Chat	Introduction to the non-asymptotic analysis of random matrices	2012	Roman Vershynin	6
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	6
+ PDF Chat	Model selection for regression on a random design	2002	Yannick Baraud	6
+ PDF Chat	A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	2020	Xin Bing Florentina Bunea Marten Wegkamp	6
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	6
+	Adaptive estimation of the copula correlation matrix for semiparametric elliptical copulas	2015	Marten Wegkamp Yue Zhao	5
+	Consistency of spectral clustering in stochastic block models	2014	Jing Lei Alessandro Rinaldo	5
+ PDF Chat	Honest variable selection in linear and logistic regression models via ℓ1 and ℓ1+ℓ2 penalization	2008	Florentina Bunea	5
+	Adaptive estimation with soft thresholding penalties	2002	Jean-Michel Loubès Sara van de Geer	5
+	A Practical Algorithm for Topic Modeling with Provable Guarantees	2012	Sanjeev Arora Rong Ge Yonatan Halpern David Mimno Ankur Moitra David Sontag Yichen Wu Michael Zhu	5
+ PDF Chat	Sparsity oracle inequalities for the Lasso	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	5
+	On the LASSO and Its Dual	2000	M. R. Osborne Brett Presnell Berwin A. Turlach	5
+ PDF Chat	A Spectral Algorithm for Latent Dirichlet Allocation	2014	Anima Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu	5
+	On Model Selection Consistency of Lasso	2006	ZhaoPeng Yubin Yubin	5
+	A Distribution-Free Theory of Nonparametric Regression	2002	László Györfi Michael Köhler Adam Krzyżak Harro Walk	5
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	5
+ PDF Chat	Model selection for regression on a fixed design	2000	Yannick Baraud	5
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	5
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	5
+ PDF Chat	Functional aggregation for nonparametric regression	2000	Anatoli Juditsky Arkadi Nemirovski	5
+	A Probabilistic Theory of Pattern Recognition	1996	Luc Devroye László Györfi Gábor Lugosi	4
+	More Comments on C P	1995	Colin L. Mallows	4
+	Wavelets, Approximation, and Statistical Applications	1998	Wolfgang Karl Härdle Gérard Kerkyacharian Dominique Picard A. B. Tsybakov	4
+ PDF Chat	High-dimensional additive modeling	2009	Lukas Meier Sara van de Geer Peter Bühlmann	4
+ PDF Chat	Regularized estimation of large covariance matrices	2008	Peter J. Bickel Elizaveta Levina	4
+ PDF Chat	Optimal rates of convergence for covariance matrix estimation	2010	Tommaso Cai Cun-Hui Zhang Harrison H. Zhou	4
+ PDF Chat	Adaptive estimation in structured factor models with applications to overlapping clustering	2020	Xin Bing Florentina Bunea Yang Ning Marten Wegkamp	4
+ PDF Chat	Dimension reduction and variable selection in case control studies via regularized likelihood optimization	2009	Florentina Bunea Adrian Barbu	4
+	Factoring nonnegative matrices with linear programs	2012	Victor Bittorf Benjamin Recht Christopher Ré Joel A. Tropp	4
+	Aggregating Regression Procedures for a Better Performance	1999	Yuhong Yang	4
+	Concentration inequalities and moment bounds for sample covariance operators	2016	Vladimir Koltchinskii Karim Lounici	4
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	4
+	A general method for analysis of covariance structures	1970	Karl G. Jöreskog	4
+ PDF Chat	Learning Topic Models -- Going beyond SVD	2012	Sanjeev Arora Rong Ge Ankur Moitra	4
+	Statistical Learning Theory and Stochastic Optimization	2004	Olivier Catoni	4