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ORCIDFlorentina Bunea
Person information
- affiliation: Cornell University, Ithaca, NY, USA
- affiliation: Florida State University, Tallahassee, USA
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2020 – today
- 2024
[i6]Xin Bing, Florentina Bunea, Jonathan Niles-Weed, Marten H. Wegkamp:
Learning large softmax mixtures with warm start EM. CoRR abs/2409.09903 (2024)- 2023
- [c3]Shuyu Liu, Florentina Bunea, Jonathan Niles-Weed:
Asymptotic confidence sets for random linear programs. COLT 2023: 3919-3940 - 2022
- [j10]Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Interpolating Predictors in High-Dimensional Factor Regression. J. Mach. Learn. Res. 23: 10:1-10:60 (2022) - [j9]Xin Bing, Tyler Lovelace
, Florentina Bunea, Marten H. Wegkamp, Sudhir Pai Kasturi, Harinder Singh, Panayiotis V. Benos, Jishnu Das:
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets. Patterns 3(5): 100473 (2022) - 2021
- [j8]Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond. J. Mach. Learn. Res. 22: 177:1-177:50 (2021) - 2020
- [j7]Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu:
High-Dimensional Inference for Cluster-Based Graphical Models. J. Mach. Learn. Res. 21: 53:1-53:55 (2020) - [j6]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
Optimal Estimation of Sparse Topic Models. J. Mach. Learn. Res. 21: 177:1-177:45 (2020) - [i5]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
Optimal estimation of sparse topic models. CoRR abs/2001.07861 (2020) - [i4]Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Interpolation under latent factor regression models. CoRR abs/2002.02525 (2020) - [i3]Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten H. Wegkamp:
Prediction in latent factor regression: Adaptive PCR and beyond. CoRR abs/2007.10050 (2020)
2010 – 2019
- 2018
- [i2]Xin Bing, Florentina Bunea, Marten H. Wegkamp:
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics. CoRR abs/1805.06837 (2018) - [i1]Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu:
High-Dimensional Inference for Cluster-Based Graphical Models. CoRR abs/1806.05139 (2018) - 2014
- [j5]Florentina Bunea, Johannes Lederer, Yiyuan She:
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms. IEEE Trans. Inf. Theory 60(2): 1313-1325 (2014) - 2011
- [j4]Florentina Bunea, Yiyuan She, Hernando Ombao, Assawin Gongvatana, Kate Devlin, Ronald Cohen:
Penalized least squares regression methods and applications to neuroimaging. NeuroImage 55(4): 1519-1527 (2011)
2000 – 2009
- 2008
- [j3]Florentina Bunea, Andrew B. Nobel:
Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean. IEEE Trans. Inf. Theory 54(4): 1725-1735 (2008) - 2007
- [c2]Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp:
Sparse Density Estimation with l1 Penalties. COLT 2007: 530-543 - 2006
- [j2]Florentina Bunea, Hernando Ombao, Anna Auguste:
Minimax Adaptive Spectral Estimation From an Ensemble of Signals. IEEE Trans. Signal Process. 54(8): 2865-2873 (2006) - [c1]Florentina Bunea, Alexandre B. Tsybakov, Marten H. Wegkamp:
Aggregation and Sparsity Via l1 Penalized Least Squares. COLT 2006: 379-391 - 2005
- [j1]Gérard Biau, Florentina Bunea, Marten H. Wegkamp:
Functional classification in Hilbert spaces. IEEE Trans. Inf. Theory 51(6): 2163-2172 (2005)
Coauthor Index
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