Functional classification in Hilbert spaces. - Gérard Biau; Florentina Bunea; Marten H. Wegkamp (IEEE Trans. Inf. Theory, 2005)

Aggregation and Sparsity Via l1 Penalized Least Squares. - Florentina Bunea; Alexandre B. Tsybakov; Marten H. Wegkamp (COLT, 2006)

Minimax Adaptive Spectral Estimation From an Ensemble of Signals. - Florentina Bunea; Hernando Ombao; Anna Auguste (IEEE Trans. Signal Process., 2006)

Sparse Density Estimation with l1 Penalties. - Florentina Bunea; Alexandre B. Tsybakov; Marten H. Wegkamp (COLT, 2007)

Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean. - Florentina Bunea; Andrew B. Nobel (IEEE Trans. Inf. Theory, 2008)

Penalized least squares regression methods and applications to neuroimaging. - Florentina Bunea; Yiyuan She; Hernando Ombao; Assawin Gongvatana; Kate Devlin; Ronald Cohen (NeuroImage, 2011)

The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms. - Florentina Bunea; Johannes Lederer; Yiyuan She (IEEE Trans. Inf. Theory, 2014)

A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics. - Xin Bing; Florentina Bunea; Marten H. Wegkamp (CoRR, 2018)

Interpolation under latent factor regression models. - Florentina Bunea; Seth Strimas-Mackey; Marten H. Wegkamp (CoRR, 2020)

Prediction in latent factor regression: Adaptive PCR and beyond. - Xin Bing; Florentina Bunea; Seth Strimas-Mackey; Marten H. Wegkamp (CoRR, 2020)

Optimal Estimation of Sparse Topic Models. - Xin Bing; Florentina Bunea; Marten H. Wegkamp (J. Mach. Learn. Res., 2020)

High-Dimensional Inference for Cluster-Based Graphical Models. - Carson Eisenach; Florentina Bunea; Yang Ning; Claudiu Dinicu (J. Mach. Learn. Res., 2020)

Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond. - Xin Bing; Florentina Bunea; Seth Strimas-Mackey; Marten H. Wegkamp (J. Mach. Learn. Res., 2021)

Interpolating Predictors in High-Dimensional Factor Regression. - Florentina Bunea; Seth Strimas-Mackey; Marten H. Wegkamp (J. Mach. Learn. Res., 2022)

Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets. - Xin Bing; Tyler Lovelace; Florentina Bunea; Marten H. Wegkamp; Sudhir Pai Kasturi; Harinder Singh; Panayiotis V. Benos; Jishnu Das (Patterns, 2022)

Asymptotic confidence sets for random linear programs. - Shuyu Liu; Florentina Bunea; Jonathan Niles-Weed (COLT, 2023)

Learning large softmax mixtures with warm start EM. - Xin Bing; Florentina Bunea; Jonathan Niles-Weed; Marten H. Wegkamp (CoRR, 2024)