Arnak DALALYAN

Arnak DALALYAN
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2020

  • Confidence regions and minimax rates in outlier-robust estimation on the probability simplex

    Electronic journal of statistics, vol. 14, iss. 2, pp. 2653-2677, 2020.
    By A. -H. Bateni and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Bateni20202653,
author={Bateni, A.-H. and Dalalyan, A.S.},
title={Confidence regions and minimax rates in outlier-robust estimation on the probability simplex},
journal={Electronic Journal of Statistics},
year={2020},
volume={14},
number={2},
pages={2653-2677},
doi={10.1214/20-EJS1731},
note={cited 
    By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088169633&doi=10.1214%2f20-EJS1731&partnerID=40&md5=fe9fb9cd08e5148bae142ae99b9217bd},
document_type={Article},
source={Scopus},
}

  • On sampling from a log-concave density using kinetic langevin diffusions

    Bernoulli, vol. 26, iss. 3, pp. 1956-1988, 2020.
    By A. S. Dalalyan and L. Riou-Durand

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20201956,
author={Dalalyan, A.S. and Riou-Durand, L.},
title={On sampling from a log-concave density using kinetic Langevin diffusions},
journal={Bernoulli},
year={2020},
volume={26},
number={3},
pages={1956-1988},
doi={10.3150/19-BEJ1178},
note={cited 
    By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091155335&doi=10.3150%2f19-BEJ1178&partnerID=40&md5=170cd248a1b45eb650ce382d250f1ca2},
document_type={Article},
source={Scopus},
}

  • Exponential weights in multivariate regression and a low-rankness favoring prior

    Annales de l'institut henri poincare (b) probability and statistics, vol. 56, iss. 2, pp. 1465-1483, 2020.
    By A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20201465,
author={Dalalyan, A.S.},
title={Exponential weights in multivariate regression and a low-rankness favoring prior},
journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
year={2020},
volume={56},
number={2},
pages={1465-1483},
doi={10.1214/19-AIHP1010},
note={cited 
    By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082518536&doi=10.1214%2f19-AIHP1010&partnerID=40&md5=88723744a0472d1726f079dbaf4c47ea},
document_type={Article},
source={Scopus},
}

  • A nonasymptotic law of iterated logarithm for general m-estimators

    vol. 108, pp. 1331-1341, 2020.
    By N. Schreuder, V. Brunel, and A. Dalalyan

    [Bibtex] 

    @ARTICLE{pmlr-v108-dalalyan20a,
title= {A nonasymptotic law of iterated logarithm for general M-estimators},
author={Schreuder, Nicolas and Brunel, Victor-Emmanuel and Dalalyan, Arnak},
booktitle= {Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics},
pages= {1331-1341},
year= {2020},
editor= {Silvia Chiappa and Roberto Calandra},
volume= {108},
series= {Proceedings of Machine Learning Research},
month= {26-28 Aug},
publisher ={PMLR},
pdf= {http://proceedings.mlr.press/v108/dalalyan20a/dalalyan20a.pdf},
url= {http://proceedings.mlr.press/v108/dalalyan20a.html},
}

2019

  • Multidimensional linear functional estimation in sparse gaussian models and robust estimation of the mean

    Electronic journal of statistics, , 2019.
    By O. Collier and A. S. Dalalyan

    [Bibtex] 

    @article{collier:hal-01694889,
author={Collier, Olivier and Dalalyan, Arnak S},
title={Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean},
journal={Electronic Journal of Statistics},
year={2019},
}

  • Multidimensional linear functional estimation in sparse gaussian models and robust estimation of the mean

    Electronic journal of statistics, vol. 13, iss. 2, pp. 2830-2864, 2019.
    By O. Collier and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Collier20192830,
author={Collier, O. and Dalalyan, A.S.},
title={Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean},
journal={Electronic Journal of Statistics},
year={2019},
volume={13},
number={2},
pages={2830-2864},
doi={10.1214/19-EJS1590},
note={cited 
    By 2},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073359975&doi=10.1214%2f19-EJS1590&partnerID=40&md5=aedccb3278835c8bc811ca0df47b5984},
document_type={Article},
source={Scopus},
}

  • User-friendly guarantees for the langevin monte carlo with inaccurate gradient

    Stochastic processes and their applications, vol. 129, iss. 12, pp. 5278-5311, 2019.
    By A. S. Dalalyan and A. Karagulyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20195278,
author={Dalalyan, A.S. and Karagulyan, A.},
title={User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient},
journal={Stochastic Processes and their Applications},
year={2019},
volume={129},
number={12},
pages={5278-5311},
doi={10.1016/j.spa.2019.02.016},
note={cited 
    By 16},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062981328&doi=10.1016%2fj.spa.2019.02.016&partnerID=40&md5=ec48fdd466f9029a7bd9b2e7af8d979c},
document_type={Article},
source={Scopus},
}

2018

  • Estimating linear functionals of a sparse family of poisson means

    Statistical inference for stochastic processes, , 2018.
    By O. Collier and A. S. Dalalyan

    [Bibtex] 

    @article{collier:hal-01656605,
author={Collier, Olivier and Dalalyan, Arnak S},
title={Estimating linear functionals of a sparse family of Poisson means},
journal={Statistical Inference for Stochastic Processes},
year={2018},
}

  • On the prediction loss of the lasso in the partially labeled setting

    Electronic journal of statistics, vol. 12, iss. 2, pp. 3443-3472, 2018.
    By P. C. Bellec, A. S. Dalalyan, E. Grappin, and Q. Paris

    [DOI] [Bibtex] 

    @ARTICLE{Bellec20183443,
author={Bellec, P.C. and Dalalyan, A.S. and Grappin, E. and Paris, Q.},
title={On the prediction loss of the lasso in the partially labeled setting},
journal={Electronic Journal of Statistics},
year={2018},
volume={12},
number={2},
pages={3443-3472},
doi={10.1214/18-EJS1457},
note={cited 
    By 2},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063375588&doi=10.1214%2f18-EJS1457&partnerID=40&md5=9bdab6eedcbae99bf9fbf0a7d604a57c},
document_type={Article},
source={Scopus},
}

  • Estimating linear functionals of a sparse family of poisson means

    Statistical inference for stochastic processes, vol. 21, iss. 2, pp. 331-344, 2018.
    By O. Collier and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Collier2018331,
author={Collier, O. and Dalalyan, A.S.},
title={Estimating linear functionals of a sparse family of Poisson means},
journal={Statistical Inference for Stochastic Processes},
year={2018},
volume={21},
number={2},
pages={331-344},
doi={10.1007/s11203-018-9173-0},
note={cited 
    By 1},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041505653&doi=10.1007%2fs11203-018-9173-0&partnerID=40&md5=2b05a012de069bfeab71d1312cd7cd08},
document_type={Article},
source={Scopus},
}

  • On the exponentially weighted aggregate with the laplace prior

    Annals of statistics, vol. 46, iss. 5, pp. 2452-2478, 2018.
    By A. S. Dalalyan, E. Grappin, and Q. Paris

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20182452,
author={Dalalyan, A.S. and Grappin, E. and Paris, Q.},
title={On the exponentially weighted aggregate with the laplace prior},
journal={Annals of Statistics},
year={2018},
volume={46},
number={5},
pages={2452-2478},
doi={10.1214/17-AOS1626},
note={cited 
    By 5},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052610806&doi=10.1214%2f17-AOS1626&partnerID=40&md5=b2c02b889f4fa84d107838e03f2e7497},
document_type={Article},
source={Scopus},
}

2017

  • On the prediction performance of the lasso

    Bernoulli, , 2017.
    By A. Dalalyan, M. Hebiri, and J. C. Lederer

    [Bibtex] 

    @article{dalalyan:halshs-02599138,
author={Dalalyan, Arnak and Hebiri, Mohamed and Lederer, Johannes C.},
title={On the prediction performance of the Lasso},
journal={Bernoulli},
year={2017},
}

  • On the prediction performance of the lasso

    Bernoulli, , 2017.
    By A. Dalalyan, M. Hebiri, and J. C. Lederer

    [Bibtex] 

    @article{dalalyan:halshs-02599138,
author={Dalalyan, Arnak and Hebiri, Mohamed and Lederer, Johannes C.},
title={On the prediction performance of the Lasso},
journal={Bernoulli},
year={2017},
}

  • Theoretical guarantees for approximate sampling from smooth and log-concave densities

    Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 651-676, 2017.
    By A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2017651,
author={Dalalyan, A.S.},
title={Theoretical guarantees for approximate sampling from smooth and log-concave densities},
journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
year={2017},
volume={79},
number={3},
pages={651-676},
doi={10.1111/rssb.12183},
note={cited 
    By 54},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018851800&doi=10.1111%2frssb.12183&partnerID=40&md5=7c7fc831ab0b47fda13b16b46538cdaa},
document_type={Article},
source={Scopus},
}

  • On the prediction performance of the lasso

    Bernoulli, vol. 23, iss. 1, pp. 552-581, 2017.
    By A. S. Dalalyan, M. Hebiri, and J. Lederer

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2017552,
author={Dalalyan, A.S. and Hebiri, M. and Lederer, J.},
title={On the prediction performance of the Lasso},
journal={Bernoulli},
year={2017},
volume={23},
number={1},
pages={552-581},
doi={10.3150/15-BEJ756},
note={cited 
    By 42},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991786871&doi=10.3150%2f15-BEJ756&partnerID=40&md5=58154c2dae197087a07bbcbc9798eb03},
document_type={Article},
source={Scopus},
}

2016

  • On estimation of the diagonal elements of a sparse precision matrix

    Electronic journal of statistics, vol. 10, iss. 1, pp. 1551-1579, 2016.
    By S. Balmand and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Balmand20161551,
author={Balmand, S. and Dalalyan, A.S.},
title={On estimation of the diagonal elements of a sparse precision matrix},
journal={Electronic Journal of Statistics},
year={2016},
volume={10},
number={1},
pages={1551-1579},
doi={10.1214/16-EJS1148},
note={cited 
    By 3},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973351698&doi=10.1214%2f16-EJS1148&partnerID=40&md5=0d87b2626caf9d456d3e00d4eec252f7},
document_type={Article},
source={Scopus},
}

  • Minimax rates in permutation estimation for feature matching

    Journal of machine learning research, vol. 17, iss. None, p. -, 2016.
    By O. Collier and A. S. Dalalyan

    [Bibtex] 

    @ARTICLE{Collier2016MinimaxMatching,
author={Olivier Collier and Arnak S. Dalalyan},
title={Minimax rates in permutation estimation for feature matching},
journal={Journal of Machine Learning Research},
year={2016},
volume={17},
number={None},
pages={-},
}

  • Minimax rates in permutation estimation for feature matching

    Journal of machine learning research, vol. 17, 2016.
    By O. Collier and A. S. Dalalyan

    [Bibtex] 

    @ARTICLE{Collier2016,
author={Collier, O. and Dalalyan, A.S.},
title={Minimax rates in permutation estimation for feature matching},
journal={Journal of Machine Learning Research},
year={2016},
volume={17},
note={cited 
    By 9},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962408596&partnerID=40&md5=b764c60aedeb371c5686be2acc2c6ad2},
document_type={Article},
source={Scopus},
}

2015

  • Curve registration by nonparametric goodness-of-fit testing

    Journal of statistical planning and inference, vol. 162, pp. 20-42, 2015.
    By O. Collier and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Collier201520,
author={Collier, O. and Dalalyan, A.S.},
title={Curve registration by nonparametric goodness-of-fit testing},
journal={Journal of Statistical Planning and Inference},
year={2015},
volume={162},
pages={20-42},
doi={10.1016/j.jspi.2015.02.004},
note={cited 
    By 6},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925292554&doi=10.1016%2fj.jspi.2015.02.004&partnerID=40&md5=7f1918c8e66e25898721c455473305b9},
document_type={Article},
source={Scopus},
}

  • Discussion of -hypotheses testing by convex optimization-

    Electronic journal of statistics, vol. 9, iss. 2, pp. 1733-1737, 2015.
    By A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20151733,
author={Dalalyan, A.S.},
title={Discussion of -hypotheses testing by convex optimization-},
journal={Electronic Journal of Statistics},
year={2015},
volume={9},
number={2},
pages={1733-1737},
doi={10.1214/15-EJS994},
note={cited 
    By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939532993&doi=10.1214%2f15-EJS994&partnerID=40&md5=d6243b780fa7505f34726bd0be1ffc12},
document_type={Article},
source={Scopus},
}

2014

  • Statistical inference in compound functional models

    Probability theory and related fields, vol. 158, iss. 3-4, pp. 513-532, 2014.
    By A. Dalalyan, Y. Ingster, and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2014513,
author={Dalalyan, A. and Ingster, Y. and Tsybakov, A.B.},
title={Statistical inference in compound functional models},
journal={Probability Theory and Related Fields},
year={2014},
volume={158},
number={3-4},
pages={513-532},
doi={10.1007/s00440-013-0487-y},
note={cited 
    By 11},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897671636&doi=10.1007%2fs00440-013-0487-y&partnerID=40&md5=5fb8613c1c4e0a1501d0e72297fb4324},
document_type={Article},
source={Scopus},
}

2013

  • Learning heteroscedastic models by convex programming under group sparsity

    Proceedings of the 30 th international conference on machine learning, , 2013.
    By A. S. Dalalyan, M. Hebiri, K. Meziani, and J. Salmon

    [Bibtex] 

    @article{dalalyan:hal-00813908,
author={Dalalyan, Arnak S. and Hebiri, Mohamed and Meziani, Katia and Salmon, Joseph},
title={Learning Heteroscedastic Models by Convex Programming under Group Sparsity},
journal={Proceedings of the 30 th International Conference on Machine Learning},
year={2013},
}

  • Permutation estimation and minimax matching thresholds

    Journal of machine learning research, vol. 31, iss. None, pp. 10-19, 2013.
    By O. Collier and A. Dalalyan

    [Bibtex] 

    @ARTICLE{Collier2013PermutationThresholds,
author={Olivier Collier and Arnak Dalalyan},
title={Permutation estimation and minimax matching thresholds},
journal={Journal of Machine Learning Research},
year={2013},
volume={31},
number={None},
pages={10-19},
}

  • Permutation estimation and minimax matching thresholds

    Journal of machine learning research, vol. 31, pp. 10-19, 2013.
    By O. Collier and A. Dalalyan

    [Bibtex] 

    @ARTICLE{Collier201310,
author={Collier, O. and Dalalyan, A.},
title={Permutation estimation and minimax matching thresholds},
journal={Journal of Machine Learning Research},
year={2013},
volume={31},
pages={10-19},
note={cited 
    By 1},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954235621&partnerID=40&md5=54d4279fe09db8ac95e2a6ea879eb925},
document_type={Conference Paper},
source={Scopus},
}

  • Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression

    Electronic journal of statistics, vol. 7, iss. 1, pp. 146-190, 2013.
    By L. Comminges and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Comminges2013146,
author={Comminges, L. and Dalalyan, A.S.},
title={Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression},
journal={Electronic Journal of Statistics},
year={2013},
volume={7},
number={1},
pages={146-190},
doi={10.1214/13-EJS766},
note={cited 
    By 9},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873878429&doi=10.1214%2f13-EJS766&partnerID=40&md5=0e258063ccfa4d6f719dd9b0fe190e6d},
document_type={Article},
source={Scopus},
}

2012

  • Mirror averaging with sparsity priors

    Bernoulli, , 2012.
    By A. S. Dalalyan and A. Tsybakov

    [Bibtex] 

    @article{dalalyan:hal-00461580,
author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
title={Mirror averaging with sparsity priors},
journal={Bernoulli},
year={2012},
}

  • Sparse regression learning by aggregation and langevin monte-carlo

    Journal of computer and system sciences, , 2012.
    By A. S. Dalalyan and A. Tsybakov

    [Bibtex] 

    @article{dalalyan:hal-00362471,
author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
title={Sparse Regression Learning by Aggregation and Langevin Monte-Carlo},
journal={Journal of Computer and System Sciences},
year={2012},
}

  • Tight conditions for consistency of variable selection in the context of high dimensionality

    Annals of statistics, vol. 40, iss. 5, pp. 2667-2696, 2012.
    By L. Comminges and A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Comminges20122667,
author={Comminges, L. and Dalalyan, A.S.},
title={Tight conditions for consistency of variable selection in the context of high dimensionality},
journal={Annals of Statistics},
year={2012},
volume={40},
number={5},
pages={2667-2696},
doi={10.1214/12-AOS1046},
note={cited 
    By 27},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873372742&doi=10.1214%2f12-AOS1046&partnerID=40&md5=5f2d89d14de23a8cfbf60c9c70e0a9a6},
document_type={Article},
source={Scopus},
}

  • On camera calibration with linear programming and loop constraint linearization

    International journal of computer vision, vol. 97, iss. 1, pp. 71-90, 2012.
    By J. Courchay, A. S. Dalalyan, R. Keriven, and P. Sturm

    [DOI] [Bibtex] 

    @ARTICLE{Courchay201271,
author={Courchay, J. and Dalalyan, A.S. and Keriven, R. and Sturm, P.},
title={On camera calibration with linear programming and loop constraint linearization},
journal={International Journal of Computer Vision},
year={2012},
volume={97},
number={1},
pages={71-90},
doi={10.1007/s11263-011-0483-6},
note={cited 
    By 5},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859264313&doi=10.1007%2fs11263-011-0483-6&partnerID=40&md5=273c2ffb021daf5d4b5c2fc9d1bde2cd},
document_type={Article},
source={Scopus},
}

  • Sparse regression learning by aggregation and langevin monte-carlo

    Journal of computer and system sciences, vol. 78, iss. 5, pp. 1423-1443, 2012.
    By A. S. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20121423,
author={Dalalyan, A.S. and Tsybakov, A.B.},
title={Sparse regression learning by aggregation and Langevin Monte-Carlo},
journal={Journal of Computer and System Sciences},
year={2012},
volume={78},
number={5},
pages={1423-1443},
doi={10.1016/j.jcss.2011.12.023},
note={cited 
    By 43},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861604276&doi=10.1016%2fj.jcss.2011.12.023&partnerID=40&md5=62c67cdb5af94da9d8a4add7592ea9c6},
document_type={Conference Paper},
source={Scopus},
}

  • Socp based variance free dantzig selector with application to robust estimation

    Comptes rendus mathematique, vol. 350, iss. 15-16, pp. 785-788, 2012.
    By A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2012785,
author={Dalalyan, A.S.},
title={SOCP based variance free Dantzig Selector with application to robust estimation},
journal={Comptes Rendus Mathematique},
year={2012},
volume={350},
number={15-16},
pages={785-788},
doi={10.1016/j.crma.2012.09.016},
note={cited 
    By 5},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867329277&doi=10.1016%2fj.crma.2012.09.016&partnerID=40&md5=78ab3230a27ba094a2a44c51b6e7ee42},
document_type={Article},
source={Scopus},
}

  • Mirror averaging with sparsity priors

    Bernoulli, vol. 18, iss. 3, pp. 914-944, 2012.
    By A. S. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2012914,
author={Dalalyan, A.S. and Tsybakov, A.B.},
title={Mirror averaging with sparsity priors},
journal={Bernoulli},
year={2012},
volume={18},
number={3},
pages={914-944},
doi={10.3150/11-BEJ361},
note={cited 
    By 21},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602377&doi=10.3150%2f11-BEJ361&partnerID=40&md5=6ce893aae1566e6d04ad0672cff36b2c},
document_type={Article},
source={Scopus},
}

  • Robust estimation for an inverse problem arising in multiview geometry

    Journal of mathematical imaging and vision, vol. 43, iss. 1, pp. 10-23, 2012.
    By A. Dalalyan and R. Keriven

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan201210,
author={Dalalyan, A. and Keriven, R.},
title={Robust estimation for an inverse problem arising in multiview geometry},
journal={Journal of Mathematical Imaging and Vision},
year={2012},
volume={43},
number={1},
pages={10-23},
doi={10.1007/s10851-011-0281-3},
note={cited 
    By 7},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859420852&doi=10.1007%2fs10851-011-0281-3&partnerID=40&md5=f5b4c2a4567dc78c9a0656f1235145b7},
document_type={Review},
source={Scopus},
}

  • Sharp oracle inequalities for aggregation of affine estimators

    Annals of statistics, vol. 40, iss. 4, pp. 2327-2355, 2012.
    By A. S. Dalalyan and J. Salmon

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20122327,
author={Dalalyan, A.S. and Salmon, J.},
title={Sharp oracle inequalities for aggregation of affine estimators},
journal={Annals of Statistics},
year={2012},
volume={40},
number={4},
pages={2327-2355},
doi={10.1214/12-AOS1038},
note={cited 
    By 26},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884954887&doi=10.1214%2f12-AOS1038&partnerID=40&md5=4c1292bdc2a917a672f782ebb18cde6d},
document_type={Article},
source={Scopus},
}

2011

  • Tight conditions for consistent variable selection in high dimensional nonparametric regression

    Journal of machine learning research, vol. 19, iss. None, pp. 187-205, 2011.
    By L. Comminges and A. S. Dalalyan

    [Bibtex] 

    @ARTICLE{Comminges2011TightRegression,
author={Laetitia Comminges and Arnak S. Dalalyan},
title={Tight conditions for consistent variable selection in high dimensional nonparametric regression},
journal={Journal of Machine Learning Research},
year={2011},
volume={19},
number={None},
pages={187-205},
}

  • Tight conditions for consistent variable selection in high dimensional nonparametric regression

    Journal of machine learning research, vol. 19, pp. 187-205, 2011.
    By L. Comminges and A. S. Dalalyan

    [Bibtex] 

    @ARTICLE{Comminges2011187,
author={Comminges, L. and Dalalyan, A.S.},
title={Tight conditions for consistent variable selection in high dimensional nonparametric regression},
journal={Journal of Machine Learning Research},
year={2011},
volume={19},
pages={187-205},
note={cited 
    By 8},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873389494&partnerID=40&md5=599a178757ca5086dbdc54dba8e7e81f},
document_type={Conference Paper},
source={Scopus},
}

  • Competing against the best nearest neighbor filter in regression

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6925 LNAI, pp. 129-143, 2011.
    By A. S. Dalalyan and J. Salmon

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2011129,
author={Dalalyan, A.S. and Salmon, J.},
title={Competing against the best nearest neighbor filter in regression},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2011},
volume={6925 LNAI},
pages={129-143},
doi={10.1007/978-3-642-24412-4_13},
note={cited 
    By 1},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054093390&doi=10.1007%2f978-3-642-24412-4_13&partnerID=40&md5=b67055016739808aca5ca10ebf45bd97},
document_type={Conference Paper},
source={Scopus},
}

  • Second-order asymptotic expansion for a non-synchronous covariation estimator

    Annales de l'institut henri poincare (b) probability and statistics, vol. 47, iss. 3, pp. 748-789, 2011.
    By A. Dalalyan and N. Yoshida

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2011748,
author={Dalalyan, A. and Yoshida, N.},
title={Second-order asymptotic expansion for a non-synchronous covariation estimator},
journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
year={2011},
volume={47},
number={3},
pages={748-789},
doi={10.1214/10-AIHP383},
note={cited 
    By 8},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960165359&doi=10.1214%2f10-AIHP383&partnerID=40&md5=ba40bad55f6f86a1b1ea3cc9da2c112c},
document_type={Article},
source={Scopus},
}

  • Description of random fields by means of one-point finite-conditional distributions

    Journal of contemporary mathematical analysis, vol. 46, iss. 2, pp. 113-119, 2011.
    By A. S. Dalalyan and B. S. Nahapetian

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2011113,
author={Dalalyan, A.S. and Nahapetian, B.S.},
title={Description of random fields by means of one-point finite-conditional distributions},
journal={Journal of Contemporary Mathematical Analysis},
year={2011},
volume={46},
number={2},
pages={113-119},
doi={10.3103/S1068362311020075},
note={cited 
    By 0},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955669806&doi=10.3103%2fS1068362311020075&partnerID=40&md5=2fbffb6de535cb74e0d965fcd75c2d0f},
document_type={Article},
source={Scopus},
}

  • Optimal aggregation of affine estimators

    Journal of machine learning research, vol. 19, iss. None, pp. 635-660, 2011.
    By J. Salmon and A. Dalalyan

    [Bibtex] 

    @ARTICLE{Salmon2011OptimalEstimators,
author={Joseph Salmon and Arnak Dalalyan},
title={Optimal aggregation of affine estimators},
journal={Journal of Machine Learning Research},
year={2011},
volume={19},
number={None},
pages={635-660},
}

  • Optimal aggregation of affine estimators

    Journal of machine learning research, vol. 19, pp. 635-660, 2011.
    By J. Salmon and A. Dalalyan

    [Bibtex] 

    @ARTICLE{Salmon2011635,
author={Salmon, J. and Dalalyan, A.},
title={Optimal aggregation of affine estimators},
journal={Journal of Machine Learning Research},
year={2011},
volume={19},
pages={635-660},
note={cited 
    By 3},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898450217&partnerID=40&md5=8e2abd3e1b381c00901c712afeb06e8e},
document_type={Conference Paper},
source={Scopus},
}

2010

  • Towards optimal naive bayes nearest neighbor

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6314 LNCS, iss. PART 4, pp. 171-184, 2010.
    By R. Behmo, P. Marcombes, A. Dalalyan, and V. Prinet

    [DOI] [Bibtex] 

    @ARTICLE{Behmo2010171,
author={Behmo, R. and Marcombes, P. and Dalalyan, A. and Prinet, V.},
title={Towards optimal naive bayes nearest neighbor},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2010},
volume={6314 LNCS},
number={PART 4},
pages={171-184},
doi={10.1007/978-3-642-15561-1_13},
note={cited 
    By 40},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149351842&doi=10.1007%2f978-3-642-15561-1_13&partnerID=40&md5=f2d63aa8651cc4c3e1657e3d388f42e7},
document_type={Conference Paper},
source={Scopus},
}

  • Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6312 LNCS, iss. PART 2, pp. 85-99, 2010.
    By J. Courchay, A. Dalalyan, R. Keriven, and P. Sturm

    [DOI] [Bibtex] 

    @ARTICLE{Courchay201085,
author={Courchay, J. and Dalalyan, A. and Keriven, R. and Sturm, P.},
title={Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2010},
volume={6312 LNCS},
number={PART 2},
pages={85-99},
doi={10.1007/978-3-642-15552-9_7},
note={cited 
    By 5},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149352644&doi=10.1007%2f978-3-642-15552-9_7&partnerID=40&md5=812a741c83f57569ad1f620fd2ef7cd2},
document_type={Conference Paper},
source={Scopus},
}

2008

  • Aggregation by exponential weighting, sharp pac-bayesian bounds and sparsity

    Machine learning, , 2008.
    By A. S. Dalalyan and A. Tsybakov

    [Bibtex] 

    @article{dalalyan:hal-00265651,
author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
title={Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity},
journal={Machine Learning},
year={2008},
}

  • A new algorithm for estimating the effective dimension-reduction subspace

    Journal of machine learning research, vol. 9, iss. None, pp. 1647-1678, 2008.
    By A. S. Dalalyan, A. Juditsky, and V. Spokoiny

    [Bibtex] 

    @ARTICLE{Dalalyan2008ASubspace,
author={Arnak S. Dalalyan and Anatoly Juditsky and Vladimir Spokoiny},
title={A new algorithm for estimating the effective dimension-reduction subspace},
journal={Journal of Machine Learning Research},
year={2008},
volume={9},
number={None},
pages={1647-1678},
}

  • A new algorithm for estimating the effective dimension-reduction subspace

    Journal of machine learning research, vol. 9, pp. 1647-1678, 2008.
    By A. S. Dalalyan, A. Juditsky, and V. Spokoiny

    [Bibtex] 

    @ARTICLE{Dalalyan20081647,
author={Dalalyan, A.S. and Juditsky, A. and Spokoiny, V.},
title={A new algorithm for estimating the effective dimension-reduction subspace},
journal={Journal of Machine Learning Research},
year={2008},
volume={9},
pages={1647-1678},
note={cited 
    By 20},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50949115024&partnerID=40&md5=63289e980d16039cc652c9a493a75198},
document_type={Article},
source={Scopus},
}

  • Aggregation by exponential weighting, sharp pac-bayesian bounds and sparsity

    Machine learning, vol. 72, iss. 1-2, pp. 39-61, 2008.
    By A. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan200839,
author={Dalalyan, A. and Tsybakov, A.B.},
title={Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity},
journal={Machine Learning},
year={2008},
volume={72},
number={1-2},
pages={39-61},
doi={10.1007/s10994-008-5051-0},
note={cited 
    By 87},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350003059&doi=10.1007%2fs10994-008-5051-0&partnerID=40&md5=ba9105a1d855f79f8ef6e36206097ca8},
document_type={Article},
source={Scopus},
}

2007

  • Stein shrinkage and second-order efficiency for semiparametric estimation of the shift

    Mathematical methods of statistics, vol. 16, iss. 1, pp. 42-62, 2007.
    By A. S. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan200742,
author={Dalalyan, A.S.},
title={Stein shrinkage and second-order efficiency for semiparametric estimation of the shift},
journal={Mathematical Methods of Statistics},
year={2007},
volume={16},
number={1},
pages={42-62},
doi={10.3103/S1066530707010048},
note={cited 
    By 6},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249146246&doi=10.3103%2fS1066530707010048&partnerID=40&md5=840b41be5c496bdf7b59be59d2d6c337},
document_type={Article},
source={Scopus},
}

  • Aggregation by exponential weighting and sharp oracle inequalities

    Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 97-111, 2007.
    By A. S. Dalalyan and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan200797,
author={Dalalyan, A.S. and Tsybakov, A.B.},
title={Aggregation by exponential weighting and sharp oracle inequalities},
journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
year={2007},
volume={4539 LNAI},
pages={97-111},
doi={10.1007/978-3-540-72927-3_9},
note={cited 
    By 57},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049046503&doi=10.1007%2f978-3-540-72927-3_9&partnerID=40&md5=e66c7086015356b4b2ea9c225c35d7cb},
document_type={Conference Paper},
source={Scopus},
}

  • Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case

    Probability theory and related fields, vol. 137, iss. 1-2, pp. 25-47, 2007.
    By A. Dalalyan and M. Reiß

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan200725,
author={Dalalyan, A. and Reiß, M.},
title={Asymptotic statistical equivalence for ergodic diffusions: The multidimensional case},
journal={Probability Theory and Related Fields},
year={2007},
volume={137},
number={1-2},
pages={25-47},
doi={10.1007/s00440-006-0502-7},
note={cited 
    By 20},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33846867045&doi=10.1007%2fs00440-006-0502-7&partnerID=40&md5=747fabf7ebfa67a71858906e393a8b2e},
document_type={Review},
source={Scopus},
}

2006

  • Asymptotic statistical equivalence for scalar ergodic diffusions

    Probability theory and related fields, vol. 134, iss. 2, pp. 248-282, 2006.
    By A. Dalalyan and M. Reiß

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2006248,
author={Dalalyan, A. and Reiß, M.},
title={Asymptotic statistical equivalence for scalar ergodic diffusions},
journal={Probability Theory and Related Fields},
year={2006},
volume={134},
number={2},
pages={248-282},
doi={10.1007/s00440-004-0416-1},
note={cited 
    By 16},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28644440536&doi=10.1007%2fs00440-004-0416-1&partnerID=40&md5=be072a1aafad1c97b056f147a8029052},
document_type={Article},
source={Scopus},
}

  • Penalized maximum likelihood and semiparametric second-order efficiency

    Annals of statistics, vol. 34, iss. 1, pp. 169-201, 2006.
    By A. S. Dalalyan, G. K. Golubev, and A. B. Tsybakov

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan2006169,
author={Dalalyan, A.S. and Golubev, G.K. and Tsybakov, A.B.},
title={Penalized maximum likelihood and semiparametric second-order efficiency},
journal={Annals of Statistics},
year={2006},
volume={34},
number={1},
pages={169-201},
doi={10.1214/009053605000000895},
note={cited 
    By 27},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744800008&doi=10.1214%2f009053605000000895&partnerID=40&md5=eb3e1e2fe01788274be43ada48822547},
document_type={Article},
source={Scopus},
}

2005

  • Sharp adaptive estimation of the drift function for ergodic diffusions

    Annals of statistics, vol. 33, iss. 6, pp. 2507-2528, 2005.
    By A. Dalalyan

    [DOI] [Bibtex] 

    @ARTICLE{Dalalyan20052507,
author={Dalalyan, A.},
title={Sharp adaptive estimation of the drift function for ergodic diffusions},
journal={Annals of Statistics},
year={2005},
volume={33},
number={6},
pages={2507-2528},
doi={10.1214/009053605000000615},
note={cited 
    By 20},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33644900974&doi=10.1214%2f009053605000000615&partnerID=40&md5=3abf9e131934da96ac9d278789e550cb},
document_type={Article},
source={Scopus},
}