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Thesis.bib
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@unpublished{NIPS16evaluation,
title={{How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?}},
author={Goix, N. and Thomas,A.},
note={To be submitted},
year={2016},
}
@inproceedings{ICMLworkshop16,
title={{How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?}},
author={Goix, N.},
booktitle={ICML Workshop on Anomaly Detection},
year={2016},
}
@unpublished{OCRF16,
title={{One Class Splitting Criteria for Random Forests with Application to Anomaly Detection}},
author={Goix, N. and Brault, R. and Drougard, N. and Chiapino, M.},
note={Submitted to AISTATS},
year={2016},
}
@inproceedings{AISTAT16,
title={{Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking}},
author={Goix, N. and Sabourin, A. and Clémençon, S.},
page={75–83},
booktitle={Proc. AISTATS},
year={2016},
}
@unpublished{NIPSWORKSHOP15,
TITLE = {{Sparse Representation of Multivariate Extremes}},
note={NIPS 2015 Workshop on Nonparametric Methods for Large Scale Representation Learning},
AUTHOR = {Goix, N. and Sabourin, A. and Cl{\'e}men{\c c}on, S.},
YEAR = {2015},
KEYWORDS = {Multivariate Extremes ; Anomaly Detection ; Dimensionality Reduction ; VC theory},
PDF = {http://www.cs.cmu.edu/~andrewgw/rep/GoiSabCle.pdf},
}
@unpublished{ARXIV16,
TITLE = {{Sparse Representation of Multivariate Extremes with Applications to Anomaly Detection}},
AUTHOR = {Goix, N. and Sabourin, A. and Cl{\'e}men{\c c}on, S.},
note={In the reviewing process of JMVA},
YEAR = {2016},
MONTH = Jul,
}
@inproceedings{COLT15,
title={{Learning the dependence structure of rare events: a non-asymptotic study}},
author={Goix, N. and Sabourin, A. and Clémençon, S.},
booktitle={Proc. COLT},
page={843–860},
year={2015},
}
@inproceedings{AISTAT15,
title={{On Anomaly Ranking and Excess-Mass Curves}},
author={Goix, N. and Sabourin, A. and Clémençon, S.},
booktitle={Proc. AISTATS},
page={287–295},
year={2015},
}
@inproceedings{Thomas2015,
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journal={JMLR},
volume={12},
pages={2825--2830},
year={2011},
}
@inproceedings{sklearn_api2013,
author = {Buitinck, L. and Louppe, G. and Blondel, M. and
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Niculae, V. and Prettenhofer, P. and Gramfort, A.
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@article{Jones2015scipy,
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author={S. Cl\'emen\c{c}on and J. Jakubowicz},
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@article{Janson2002,
title={On concentration of probability},
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year={2002},
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@book{Vapnik74,
author = {Vapnik, V. and Chervonenkis, A.},
note = {(German Translation: W.~Wapnik \& A.~Tscherwonenkis, {\em Theorie
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publisher = {Nauka},
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year = 1974
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@book{Vapnik2013,
title={The nature of statistical learning theory},
author={Vapnik, V.},
year={2013},
publisher={Springer Science \& Business Media}
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Author = {Boucheron, S. and Lugosi, G. and Massart, P.},
Publisher = {Oxford University Press},
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Year = 2013}
@article{Massart2000,
author = {Massart, P.},
journal = {Ann. Fac. Sci. Toulouse},
keywords = {chi-square statistics; penalty functions; contrast functions; bounded regression; Poisson inequality; Han's inequality; entropy; histogram},
language = {eng},
pages = {245-303},
publisher = {Université Paul Sabatier},
title = {Some applications of concentration inequalities to statistics},
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year = {2000},
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@book{Massart2007,
title={Concentration Inequalities and Model Selection: Ecole d'Et{\'e} de Probabilit{\'e}s de Saint-Flour XXXIV, volume 1896 of Lecture Notes in Mathematics.},
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title = {{A result of Vapnik with applications}},
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@incollection{Bousquet04,
year={2004},
booktitle={Advanced Lectures on Machine Learning},
volume={3176},
series={Lecture Notes in Computer Science},
editor={Bousquet, Olivier and von Luxburg, Ulrike and Rätsch, Gunnar},
title={Introduction to Statistical Learning Theory},
publisher={Springer Berlin Heidelberg},
author={Bousquet, O. and Boucheron, S. and Lugosi, G.},
language={English}
}
@ARTICLE{BBL05,
author={Boucheron, S. and Bousquet, O. and Lugosi, G.},
year={2005},
title={Theory of Classification: A Survey of Some Recent Advances},
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volume={9},
pages={323--375}
}
@article{Bottou2007,
title={Support vector machine solvers},
author={Bottou, L. and Lin, C-J.},
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}
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language={English}
}
@article{Biau2016,
title={A random forest guided tour},
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}
@article{Biau2008,
title={Consistency of random forests and other averaging classifiers},
author={Biau, G. and Devroye, L. and Lugosi, G.},
journal={JMLR},
volume={9},
pages={2015--2033},
year={2008}
}
@inproceedings{Blanchard2004,
title={Oracle bounds and exact algorithm for dyadic classification trees},
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pages={378--392},
year={2004},
organization={Springer}
}
@book{Devroye96,
title={A Probabilistic Theory of Pattern Recognition},
author={Devroye, L. and Gy{\"o}rfi, L. and Lugosi, G.},
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publisher={U.S. Government Printing Office}
}
@book{Bishop2006,
author = {Bishop, C. M},
title = {Pattern Recognition and Machine Learning},
year = {2006},
publisher = {Springer-Verlag New York, Inc.},
}
@book{Friedman2001,
title={The elements of statistical learning},
author={Friedman, J. and Hastie, T. and Tibshirani, R.},
year={2001},
publisher={Springer series in statistics Springer, Berlin}
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author={V. Koltchinskii},
year={2006},
title={Local {R}ademacher complexities and oracle inequalities in risk minimization (with discussion)},
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@article{Scholkopf2001,
title={Estimating the support of a high-dimensional distribution},
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volume={13},
pages={1443--1471},
year={2001},
publisher={MIT Press}
}
@article{Tax2002,
title={Uniform object generation for optimizing one-class classifiers},
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pages={155--173},
}
@article{Scott2006,
title={Learning minimum volume sets},
author={Scott, C.D and Nowak, R.D},
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}
@article{Polonik97,
author={W. Polonik},
year={1997},
title={{Minimum volume sets and generalized quantile processes}},
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@phdthesis{Vert06thesis,
title={Theoretical insights on density level set estimation, application to anomaly detection},
author={Vert, R.},
year={2006},
school={Paris 11}
}
@article{Steinwart2005,
title={A classification framework for anomaly detection},
author={Steinwart, I. and Hush, D. and Scovel, C.},
journal={JMLR},
volume={6},
pages={211--232},
year={2005}
}
@Comment SHS05 -> Steinwart2005 !!!
@article{VertVert,author={J.-P. Vert and R. Vert},year={2006},title={Consistency and Convergence Rates of One-Class SVMs and Related Algorithms},journal={JMLR},volume={6},pages={828--835}}
@inproceedings{VCTWMS,
author={K. Viswanathan and L. Choudur and V. Talwar and C. Wang and G. Macdonald and W. Satterfield},
booktitle={2012 IEEE Network Operations and Management Symposium},
title={Ranking anomalies in data centers},
year={2012},
pages={79-87},
}
@article{Hartigan1987,
title={Estimation of a convex density contour in two dimensions},
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pages={267--270},
year={1987},
publisher={Taylor \& Francis}
}
@article{Muller1991,
title={Excess mass estimates and tests for multimodality},
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volume={86},
pages={738--746},
year={1991},
publisher={Taylor \& Francis}
}
@book{Federer1969,
author={Federer, H.},
title = {Geometric Measure Theory},
publisher = {Springer},
year = {1969}
}
%%%%%%%%%%%%%%%%%%%%%%%%% plug-in level set estimation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{Cuevas1997,
title={A plug-in approach to support estimation},
author={Cuevas, A. and Fraiman, R.},
journal={Ann. Stat.},
pages={2300--2312},
year={1997},
publisher={JSTOR}
}
@article{Baillo2003,
title={Total error in a plug-in estimator of level sets},
author={Baillo, A.},
journal={Statistics \& probability letters},
volume={65},
pages={411--417},
year={2003},
publisher={Elsevier}
}
@article{Baillo2001,
title={Convergence rates in nonparametric estimation of level sets},
author={Baillo, A. and Cuesta-Albertos, J. A and Cuevas, A.},
journal={Statistics \& probability letters},
volume={53},
pages={27--35},
year={2001},
publisher={Elsevier}
}
@article{Tsybakov1997,
title={On nonparametric estimation of density level sets},
author={Tsybakov, A. B.},
journal={Ann. Stat.},
volume={25},
pages={948--969},
year={1997},
publisher={Institute of Mathematical Statistics}
}
@article{Cadre2006,
title={Kernel estimation of density level sets},
author={Cadre, B.},
journal={JMVA},
volume={97},
pages={999--1023},
year={2006},
publisher={Elsevier}
}
@article{Rigollet2009,
title={Optimal rates for plug-in estimators of density level sets},
author={Rigollet, P. and Vert, R.},
journal={Bernoulli},
pages={1154--1178},
volume={15},
year={2009},
publisher={JSTOR}
}
@article{Mason2009,
title={Asymptotic normality of plug-in level set estimates},
author={Mason, D. M. and Polonik, W.},
journal={The Annals of Applied Probability},
volume={19},
pages={1108--1142},
year={2009},
publisher={Institute of Mathematical Statistics}
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Random Forest %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{Breiman2001,
title={Random forests},
author={Breiman, L.},
journal={Machine learning},
volume={45},
pages={5--32},
year={2001},
publisher={Springer}
}
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