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)

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

Classification with a Reject Option using a Hinge Loss. - Peter L. Bartlett; Marten H. Wegkamp (J. Mach. Learn. Res., 2008)

Quantization for Nonparametric Regression. - László Györfi; Marten H. Wegkamp (IEEE Trans. Inf. Theory, 2008)

Classification Methods with Reject Option Based on Convex Risk Minimization. - Ming Yuan; Marten H. Wegkamp (J. Mach. Learn. Res., 2010)

Time-dependent copulas. - Jean-David Fermanian; Marten H. Wegkamp (J. Multivar. Anal., 2012)

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)

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 Discriminant Functions in High-Dimensional Gaussian Latent Mixtures. - Xin Bing; Marten H. Wegkamp (CoRR, 2022)

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)

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