Marco Perone-Pacifico | Papers With Codepaperswithcode.com › author › marco-perone-pacifi...
paperswithcode.com
Papers by Marco Perone-Pacifico with links to code and results.
Larry Wasserman's articles on arXiv
arxiv.org
Authors: Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman. Subjects: Methodology (stat.ME); Machine Learning (stat.ML).
Abstract for Larry Wasserman - KI-Netwww.ki-net.umd.edu › activities › abstract
www.math.umd.edu
I'll also discuss limiting distribution theory for ridge estimates. This is joint work with Chris Genovese, Marco Perone-Pacifico and Isabella Verdinelli.
[ ] The Geometry of Nonparametric Filament Estimation
arxiv.org
... Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman
MANIFOLD ESTIMATION AND SINGULAR DECONVOLUTION ...www.jstor.org › stable
www.jstor.org
By Christopher R. Genovese1, Marco Perone-Pacifico2,. Isabella Verdinelli2 and Larry Wasserman3. Carnegie Mellon University, Sapienza University of Rome, ...
dblp: Marco Perone-Pacifico
dblp.uni-trier.de
List of computer science publications by Marco Perone-Pacifico
Marco Perone-Pacifico - DBLPdblp.org › Persons
dblp.org
· Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry A. Wasserman: Manifold Estimation and Singular Deconvolution ...
Non-parametric inference for density modes - jstorwww.jstor.org › stable
www.jstor.org
Marco Perone-Pacifico. University of Rome, Italy and Isabella Verdinelli and Larry Wasserman. Carnegie Mellon University, Pittsburgh, USA.
Nonparametric ridge estimation | DeepAIdeepai.org › publication › nonparametric-ridge-estimation
deepai.org
· Marco Perone-Pacifico. 3 publications. Isabella Verdinelli. 6 publications ... Signup with LinkedIn. Already have an account? Login here.
Hunting for Manifolds | Normal Deviatenormaldeviate.wordpress.com › › hunti...
normaldeviate.wordpress.com
· With the first group (Chris Genovese, Marco Perone-Pacifico, Isa Verdinelli and me) we have focused mostly on certain geometric aspects of ...
Alle Infos zum Namen "Marco Perone"
Density Ridges - Cosmic Web Reconstruction
sites.google.com
· Genovese, Christopher R., Marco Perone-Pacifico, Isabella Verdinelli, and Larry Wasserman. ``Nonparametric Ridge Estimation." The Annals of ...
Minimax Manifold Estimation
jmlr.csail.mit.edu
Minimax Manifold Estimation. Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman; 13(May):1263−1291,
Marco Perone-Pacifico | Università degli Studi "La Sapienza" di Romauniroma1.academia.edu › MarcoPeronePacifico
uniroma1.academia.edu
Marco Perone-Pacifico, Università degli Studi "La Sapienza" di Roma, Scienze Statistiche Department, Faculty Member. Studies Ecology of Coastal Systems, ...
Manifold estimation and singular deconvolution under Hausdorff lossprojecteuclid.org › volume-40 › issue-2 › 12-AOS994
projecteuclid.org
Christopher R. Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman. Ann. Statist. 40(2): (April 2012). DOI: AOS994.
Minimax Manifold Estimation - Academia.eduwww.academia.edu › Minimax_Manifold_Estimation
www.academia.edu
... University Pittsburgh, PA , USA Marco Perone-Pacifico Department of Statistical Sciences arXiv: v1 [stat.
Minimax Manifold Estimationwww.jmlr.org › papers
www.jmlr.org
Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman; 13(43):1263−1291, Abstract. We find the minimax rate of convergence in ...
Testing the manifold hypothesis - AMS :: Journal of the American ...www.ams.org › jams
www.ams.org
Genovese, Marco Perone-Pacifico, Isabella Verdinelli, and Larry Wasserman, Minimax manifold estimation, J. Mach. Learn. Res. 13 (2012), no. 1, 1263–1291.
Statistics and Machine Learning Working Group: Publications
statml.cs.cmu.edu
Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli, and Larry Wasserman. Preprint. Exact Post-Selection Inference for Changepoint Detection and Other Generalized Lasso Problems. Sangwon Hyun, Max G'Sell, and Ryan Tibshirani. Preprint. Minimax Rates for Estimating the Dimension of a Manifold.
Carnegie Mellon Machine Learning Lunch Seminar
www.cs.cmu.edu
The second is the problem of "Minimax Estimation of Manifolds From Noisy Data, in the Hausdorff Distance". (Joint work with Chris Genovese, Marco Perone-Pacifico and
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