Pierre C. Bellec

I am an Assistant Professor of statistics at Rugers, the state university of New Jersey. I obtained my PhD in 2016 from ENSAE ParisTech, where I was fortunate to have Alexandre Tsybakov as my PhD advisor. My research interests include aggregation of estimators, shape restricted regression, confidence sets, high-dimensional statistics and concentration inequalities.

Education

2016: PhD, ENSAE ParisTech, France.
2012: Part III (MASt), University of Cambridge, UK.
2011: Dipl. d'Ingénieur, Ecole Polytechnique, France.

Journal papers

[1]
Slope meets lasso: improved oracle bounds and optimality. Pierre C Bellec, Guillaume Lecué, and Alexandre B Tsybakov.
Annals of Statistics, to appear., 2018+.
[2]
Optimal bounds for aggregation of affine estimators. Pierre C. Bellec.
Annals of Statistics, to appear, 2017+.
[3]
Optimal exponential bounds for aggregation of density estimators. Pierre C. Bellec.
Bernoulli, 23(1):219–248, 2017.
[4]
Sharp oracle inequalities for least squares estimators in shape restricted regression. Pierre C. Bellec.
Annals of Statistics, to appear, 2017+.
[5]
Bounds on the prediction error of penalized least squares estimators with convex penalty. Pierre C Bellec and Alexandre B Tsybakov. In Vladimir Panov, editor,
Modern Problems of Stochastic Analysis and Statistics, Selected Contributions In Honor of Valentin Konakov. Springer, 2017.
[6]
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.
[7]
A sharp oracle inequality for graph-slope. Pierre C. Bellec, Joseph Salmon, and Samuel Vaiter.
Electron. J. Statist., 11(2):4851–4870, 2017.
[8]
Aggregation of supports along the lasso path. Pierre C. Bellec.
Accepted at Conference On Learning Theory (COLT) 2016, 2016.
[9]
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.

Submitted articles and preprints

[1]
Localized gaussian width of m-convex hulls with applications to lasso and convex aggregation. Pierre C Bellec.
arXiv:1705.10696, 2017.
[2]
Optimistic lower bounds for convex regularized least-squares. Pierre C Bellec.
arXiv:1703.01332, 2017.
[3]
Adaptive confidence sets in shape restricted regression. Pierre C. Bellec.
Technical report. ArXiv:1601.05766, 2016.
[4]
On the prediction loss of the lasso in the partially labeled setting. Pierre C Bellec, Arnak S Dalalyan, Edwin Grappin, and Quentin Paris.
Submitted. ArXiv:1606.06179, 2016.
[5]
Concentration of quadratic forms under a bernstein moment assumption. Pierre C. Bellec.
Technical report, 2014.

Past and scheduled talks:

Reach me

pcb71@stat.rutgers.edu
Department of Statistics & Biostatistics
Rutgers, The State University of New Jersey
501 Hill Center, Busch Campus
110 Frelinghuysen Road
Piscataway, NJ 08854