# Pierre C. Bellec

Department of Statistics & Biostatistics, Rutgers University.

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: Diplôme d'Ingénieur, Ecole Polytechnique, France.

### Preprint and submitted articles

- [1]
- De-biasing
the Lasso with degrees-of-freedom adjustment.
Pierre C Bellec and Cun-Hui Zhang.

arXiv:1902.08885, 2019. - [2]
- The noise barrier and the large
signal bias of the Lasso and other convex estimators.
Pierre C Bellec.

arXiv:1804.01230, 2018. - [3]
- Second order
Stein: SURE for SURE and other applications in high-dimensional
inference.
Pierre C Bellec and Cun-Hui Zhang.

arXiv:1804.01230, 2018. - [4]
- Optimistic lower bounds for
convex regularized least-squares.
Pierre C Bellec.

arXiv:1703.01332, 2017. - [5]
- Adaptive confidence sets in shape
restricted regression.
Pierre C. Bellec.

Technical report. ArXiv:1601.05766, 2016. - [6]
- Concentration of quadratic forms
under a Bernstein moment assumption.
Pierre C. Bellec.

Technical report. Arxiv:1901.08726, 2014.

### Journal articles

- [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.

### Awards and Grants

- NSF award DMS 1811976 (PI):
*Uncertainty Quantification in High-Dimensional Structured Regression Problems*, 2018-2021. - Blaise Pascal PhD Award, 2017 edition.

### Past and scheduled talks:

- Department of Statistics Seminar, University of Michigan, Ann Arbor, October 2018.
- Workshop on Higher-Order Asymptotics and Post-Selection Inference (WHOA-PSI), Washington University in St-Louis, September 2018.
- JSM, Vancouver, August 2018.
- Conference on Statistical Learning and Data Science (SLDS), Columbia University, June 2018.
- Oberwolfach, "Statistical Inference for Structured High-dimensional Models", March 2018.
- 'Structural Inference in Statistics' spring school, March 8, 2017. Lubbenau, Spreewald, Germany.
- Meeting in Mathematical Statistics (MMS), Luminy, Dec 2017.
- Baruch College, CUNY, November 2017.
- ICSA, June 2017, Chicago.
- UConn, April 2017. The 31st New England Statistics Symposium.
- NJIT, Department of Mathematical Sciences, April 2017.
- NYU Stern, March 2017.
- MIT, Feb 2017. MIT Stochastics and Statistics seminar series.
- Meeting in Mathematical Statistics (MMS), Dec 2016.
- George Mason University, No 18, 2016.
- Conference On Learning Theory (COLT), June 2016. Columbia University,
- Columbia University, Feb 3, 2016. Statistics student seminar.
- Rutgers University, Feb 2, 2016. Statistics seminar.
- Yale University, Jan 29, 2016. YPNG seminar.
- Stanford University, Jan 26, 2016. Statistics seminar.
- Orsay, Laboratoire de Mathematiques, Jan 21, 2016.
- Institut Mathematiques de Toulouse, Jan 12, 2016.
- Meeting in Mathematical Statistics (MMS), Dec 2015.
- Heidelberg University, July 2014. Workshop "Nonparametric and high-dimensional statistics".
- Meeting in Mathematical Statistics (MMS), Dec 2014. CIRM, Luminy.
- Yale University, April 2014. YPNG seminar.

### Reach me

pcb71@stat.rutgers.eduDepartment of Statistics & Biostatistics

Rutgers, The State University of New Jersey

501 Hill Center, Busch Campus

110 Frelinghuysen Road

Piscataway, NJ 08854