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2022
Optimal detection of the feature matching map in presence of noise and outliers
Electronic journal of statistics, vol. 16, iss. 2, pp. 5720-5750, 2022.
By T. Galstyan, A. Minasyan, and A. S. Dalalyan@article{Galstyan20225720, author={Galstyan, T. and Minasyan, A. and Dalalyan, A.S.}, title={Optimal detection of the feature matching map in presence of noise and outliers}, journal={Electronic Journal of Statistics}, year={2022}, volume={16}, number={2}, pages={5720-5750}, doi={10.1214/22-EJS2076}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140829908&doi=10.1214%2f22-EJS2076&partnerID=40&md5=04bd58a4824afadb06bcbf472862b9c5}, publisher={Institute of Mathematical Statistics}, }
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2020
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091155335&doi=10.3150%2f19-BEJ1178&partnerID=40&md5=170cd248a1b45eb650ce382d250f1ca2}, publisher={International Statistical Institute}, }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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088169633&doi=10.1214%2f20-EJS1731&partnerID=40&md5=fe9fb9cd08e5148bae142ae99b9217bd}, publisher={Institute of Mathematical Statistics}, }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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082518536&doi=10.1214%2f19-AIHP1010&partnerID=40&md5=88723744a0472d1726f079dbaf4c47ea}, publisher={Institute of Mathematical Statistics}, }
2019
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@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}, 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}, publisher={Elsevier B.V.}, }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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073359975&doi=10.1214%2f19-EJS1590&partnerID=40&md5=aedccb3278835c8bc811ca0df47b5984}, publisher={Institute of Mathematical Statistics}, }
2018
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052610806&doi=10.1214%2f17-AOS1626&partnerID=40&md5=b2c02b889f4fa84d107838e03f2e7497}, publisher={Institute of Mathematical Statistics}, }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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063375588&doi=10.1214%2f18-EJS1457&partnerID=40&md5=9bdab6eedcbae99bf9fbf0a7d604a57c}, publisher={Institute of Mathematical Statistics}, }
2017
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991786871&doi=10.3150%2f15-BEJ756&partnerID=40&md5=58154c2dae197087a07bbcbc9798eb03}, publisher={International Statistical Institute}, }
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973351698&doi=10.1214%2f16-EJS1148&partnerID=40&md5=0d87b2626caf9d456d3e00d4eec252f7}, publisher={Institute of Mathematical Statistics}, }Minimax rates in permutation estimation for feature matching
Journal of machine learning research, vol. 17, 2016.
By O. Collier and A. S. Dalalyan@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962408596&partnerID=40&md5=b764c60aedeb371c5686be2acc2c6ad2}, publisher={Microtome Publishing}, }
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@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}, 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}, publisher={Elsevier B.V.}, }
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897671636&doi=10.1007%2fs00440-013-0487-y&partnerID=40&md5=5fb8613c1c4e0a1501d0e72297fb4324}, }
2013
Permutation estimation and minimax matching thresholds
Journal of machine learning research, vol. 31, pp. 10-19, 2013.
By O. Collier and A. Dalalyan@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954235621&partnerID=40&md5=54d4279fe09db8ac95e2a6ea879eb925}, publisher={Microtome Publishing}, }
2012
Mirror averaging with sparsity priors
Bernoulli, vol. 18, iss. 3, pp. 914-944, 2012.
By A. S. Dalalyan and A. B. Tsybakov@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602377&doi=10.3150%2f11-BEJ361&partnerID=40&md5=6ce893aae1566e6d04ad0672cff36b2c}, }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@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}, 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}, }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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884954887&doi=10.1214%2f12-AOS1038&partnerID=40&md5=4c1292bdc2a917a672f782ebb18cde6d}, publisher={Institute of Mathematical Statistics}, }
2008
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@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}, url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350003059&doi=10.1007%2fs10994-008-5051-0&partnerID=40&md5=ba9105a1d855f79f8ef6e36206097ca8}, publisher={Kluwer Academic Publishers}, }
2006
Penalized maximum likelihood and semiparametric second-order efficiency
The annals of statistics, vol. 34, iss. 1, p. 169–201, 2006.
By A. Dalalyan, G. Golubev, and A. Tsybakov@article{dalalyan2006penalized, title={Penalized maximum likelihood and semiparametric second-order efficiency}, author={Dalalyan, AS and Golubev, GK and Tsybakov, AB}, journal={The Annals of Statistics}, volume={34}, number={1}, pages={169--201}, year={2006}, publisher={Institute of Mathematical Statistics}, }