pierre.bellec@rutgers.edu

Pierre C. Bellec

Assistant Professor (tenure-track), Department of Statistics, Rutgers University.

I am broadly interested in the properties of machine learning algorithms that extract structured information from noisy/corrupted data, with a focus on providing provable, certifiable guarantees on the output of these algorithms, e.g. with confidence intervals or other forms of uncertainty quantification.

Education

2016: PhD, ENSAE ParisTech, France, advised by Alexandre Tsybakov.
2012: Part III (MASt), University of Cambridge, UK.
2011: Diplôme d'Ingénieur (X08), Ecole Polytechnique, France.

Preprints and submitted articles

Bibliography generated from build/preprints.bib
[1]
De-biasing the Lasso with degrees-of-freedom adjustment. Pierre C Bellec and Cun-Hui Zhang.
arXiv:1902.08885, 2019.
[2]
Second order Poincare inequalities and de-biasing arbitrary convex regularizers when p/n → γ. Pierre C Bellec and Cun-Hui Zhang.
arXiv:1912.11943, 2019.
[3]
The noise barrier and the large signal bias of the Lasso and other convex estimators. Pierre C Bellec.
arXiv:1804.01230, 2018.
[4]
Second order Stein: SURE for SURE and other applications in high-dimensional inference. Pierre C Bellec and Cun-Hui Zhang.
arXiv:1804.01230, 2018.
[5]
Optimistic lower bounds for convex regularized least-squares. Pierre C Bellec.
arXiv:1703.01332, 2017.
[6]
Adaptive confidence sets in shape restricted regression. Pierre C. Bellec.
Technical report. ArXiv:1601.05766, 2016.
[7]
Concentration of quadratic forms under a Bernstein moment assumption. Pierre C. Bellec.
Technical report. Arxiv:1901.08726, 2014.

Journal articles

Bibliography generated from build/journals.bib
[1]
Optimal bounds for aggregation of affine estimators. Pierre C. Bellec.
Ann. Statist., 46(1):30–59, 02 2018.
[2]
Sharp oracle inequalities for Least Squares estimators in shape restricted regression. Pierre C. Bellec.
Ann. Statist., 46(2):745–780, 2018.
[3]
On the prediction loss of the lasso in the partially labeled setting. Pierre C. Bellec, Arnak S. Dalalyan, Edwin Grappin, and Quentin Paris.
Electron. J. Statist., 12(2):3443–3472, 2018.
[4]
Slope meets Lasso: Improved oracle bounds and optimality. Pierre C. Bellec, Guillaume Lecué, and Alexandre B. Tsybakov.
Ann. Statist., 46(6B):3603–3642, 2018.
[5]
Localized Gaussian width of M-convex hulls with applications to Lasso and convex aggregation. Pierre C Bellec.
Bernoulli, to appear, 2017.
[6]
Optimal exponential bounds for aggregation of density estimators. Pierre C. Bellec.
Bernoulli, 23(1):219–248, 2017.
[7]
Bounds on the prediction error of penalized least squares estimators with convex penalty. Pierre C Bellec and Alexandre B Tsybakov. In
Modern Problems of Stochastic Analysis and Statistics, Selected Contributions In Honor of Valentin Konakov. Springer, 2017.
[8]
Towards the study of least squares estimators with convex penalty. Pierre C Bellec, Guillaume Lecué, and Alexandre B Tsybakov. In
Seminaire et Congres, to appear, number 39. Societe mathematique de France, 2017.
[9]
A sharp oracle inequality for Graph-Slope. Pierre C. Bellec, Joseph Salmon, and Samuel Vaiter.
Electron. J. Statist., 11(2):4851–4870, 2017.
[10]
Aggregation of supports along the Lasso path. Pierre C. Bellec.
Accepted at Conference On Learning Theory (COLT) 2016, 2016.
[11]
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation. Pierre C. Bellec and Alexandre B. Tsybakov.
Journal of Machine Learning Research, 16:1879–1892, 2015.

Conference proceedings

Bibliography generated from build/conferences.bib

Awards and Grants

Student supervision

Courses and teaching material

Some of my teaching material is released under Creative Commons and available at https://github.com/bellecp/CC-BY-SA-teaching-material/ .

Past and upcoming talks

Professional Service

Software

Fast-p (https://github.com/bellecp/fast-p), a fast command-line tool to browse hundreds or thousands of academic PDFs.

Reach me

pierre.bellec@rutgers.edu     (Work)
Department of Statistics
Rutgers University
501 Hill Center, Busch Campus
110 Frelinghuysen Road
Piscataway, NJ 08854