CV

	@techreport{LuDal24,
      		author      = {Lu Yu and  Arnak S. Dalalyan},
		title       = {Parallelized Midpoint Randomization for Langevin Monte Carlo},
      		year        = {2024},
      		number	    = {2402.14434},
      		institution = {arXiv},
      		type        = {submitted},
		month       = {February},
		url         = {https://arxiv.org/abs/2402.14434},
		pages       = {1-25},
		}
		
	@inproceedings{MinasyanGHD23,
	  author       = {Arshak Minasyan and
	                  Tigran Galstyan and
	                  Sona Hunanyan and
	                  Arnak S. Dalalyan},
	  title        = {Matching Map Recovery with an Unknown Number of Outliers},
	  booktitle    = {AISTATS},
	  series       = {Proceedings of Machine Learning Research},
	  volume       = {206},
	  pages        = {891--906},
	  publisher    = {{PMLR}},
	  year         = {2023},
	  url          = {https://proceedings.mlr.press/v206/minasyan23a.html},
	 }
		
	@article{Dalalyan2023Simple,
		  author    = {Arnak S. Dalalyan},
		  title     = {Simple Proof of the Risk Bound for Denoising by Exponential Weights for Asymmetric Noise Distributions},
		  journal   = {Journal of Contemporary Mathematical Analysis (Armenian Academy of Sciences)},
		  volume       = {58},
		  number    = {6},
		  year      = {2023},
		  url       = {https://doi.org/10.3103/S106836232306002X},
	       	  month     = {December},
	          pages     = {391-399},
		}
		
	@techreport{doniermeroz2023graphon,
      		title       ={Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels}, 
      		author      ={Etienne Donier-Meroz and Arnak S. Dalalyan and Francis Kramarz and Philippe Choné and Xavier D'Haultfoeuille},
      		year        ={2023},
      		number	    ={2304.03590},
      		institution ={arXiv},
      		type        ={submitted},
		month       ={September},
		url         ={https://arxiv.org/abs/2304.03590},
		pages       ={1-47}
		}
		
	@inproceedings{VardanyanHGMD24,
		author       = {Elen Vardanyan and Sona Hunanyan and
                Tigran Galstyan and Arshak Minasyan and
                Arnak S. Dalalyan},
		title        = {Statistically Optimal Generative Modeling with Maximum Deviation from
		                  the Empirical Distribution},
		booktitle    = {{ICML}},
		url    = {https://openreview.net/forum?id=3ash2ksk1r},
		year         = {2024},
		pages ={1-8}, 
	}
		
	@article{BateniMD,
		  author    = {Amir{-}Hossein Bateni and
			       Arshak Minasyan and
			       Arnak S. Dalalyan},
		  title     = {Nearly minimax robust estimator of the mean vector by iterative spectral
			       dimension reduction},
		  volume    = {arXiv},
		  number    = {2204.02323},
		  year      = {2024},
		  url       = {https://doi.org/10.48550/arXiv.2204.02323},
		  journal   = {Bernoulli, to appear},
	       	  pages     = {1-35},
		}
	@inproceedings{YuKD24,
  		author       = {Lu Yu and
				  Avetik G. Karagulyan and
				  Arnak S. Dalalyan},
		  title        = {Langevin Monte Carlo for strongly log-concave distributions: Randomized
				  midpoint revisited},
		  booktitle    = {{ICLR}},
		  URL          = {https://openreview.net/forum?id=hOxgrGM63n},
		  pages        = {1-10},
		  year         = {2024}
		}
	@inproceedings{TinsiD22,
		  author    = {Laura Tinsi and
			       Arnak S. Dalalyan},
		  editor    = {Po{-}Ling Loh and
			       Maxim Raginsky},
		  title     = {Risk bounds for aggregated shallow neural networks using Gaussian
			       priors},
		  booktitle = {Conference on Learning Theory, July 2022},
		  series    = {Proceedings of Machine Learning Research},
		  volume    = {178},
		  pages     = {227--253},
		  publisher = {{PMLR}},
		  year      = {2022},
		  url       = {https://proceedings.mlr.press/v178/tinsi22a.html},
		  }

	@inproceedings{SchreuderBD21,
		author    = {Nicolas Schreuder and Victor{-}Emmanuel Brunel and Arnak S. Dalalyan},
		title     = {Statistical guarantees for generative models without domination},
		booktitle = {Algorithmic Learning Theory, March 2021},
	       volume    = {132},
	       pages     = {1051--1071},
	       publisher = {{PMLR}},
	       year      = {2021},
	       url       = {http://proceedings.mlr.press/v132/schreuder21a.html},
	       }
	@article{GalstyanMD,
		author = {Tigran Galstyan and Arshak Minasyan and Arnak S. Dalalyan},
		title = {{Optimal detection of the feature matching map in presence of noise and outliers}},
		volume = {16},
		journal = {Electronic Journal of Statistics},
		number = {2},
		publisher = {Institute of Mathematical Statistics and Bernoulli Society},
		pages = {5720 -- 5750},
		keywords = {Feature matching, Minimax optimality, robustness},
		year = {2022},
		url = {https://doi.org/10.1214/22-EJS2076}
		}
         
	@inproceedings{karagulyan2020penalized,
		author    = {Avetik G. Karagulyan and Arnak S. Dalalyan},
  		title     = {Penalized Langevin dynamics with vanishing penalty for smooth and 
		log-concave targets},
		booktitle = {NeurIPS 2020},
		year      = {2020},
		url       = {https://proceedings.neurips.cc/paper/2020/hash/cc75c256acc04ce25a291c4b7a9856c0-Abstract.html},
		pages = {17594--17604},
		}
		
	@article{DalMin2022,
		author = {Arnak S. Dalalyan and Arshak Minasyan},
		title = {{All-in-one robust estimator of the Gaussian mean}},
		volume = {50},
		journal = {The Annals of Statistics},
		number = {2},
		publisher = {Institute of Mathematical Statistics},
		pages = {1193 -- 1219},
		year = {2022},
		doi = {10.1214/21-AOS2145},
		}

	@inproceedings{DalThompson2019,
		title = {Outlier-robust estimation of a sparse linear model using ell-1-penalized Huber's M-estimator},
		author = {Arnak S. Dalalyan and  Philip Thompson},
		booktitle = {Advances in Neural Information Processing Systems 32},		
		pages = {13188--13198},
		year = {2019},		
		url = {http://arxiv.org/pdf/1904.06288}
		}
		
	@article{dalalyan2022bounding,
 		author  = {Arnak S. Dalalyan and Avetik Karagulyan and Lionel Riou-Durand},
  		title   = {Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets},
  		journal = {Journal of Machine Learning Research},
  		year    = {2022},
  		volume  = {23},
  		number  = {235},
  		pages   = {1--38},
  		url     = {http://jmlr.org/papers/v23/20-655.html}
		}
		
	@inproceedings{BrunDalSchr2019,
   		author		= {Victor-Emmanuel Brunel and Arnak S. Dalalyan and Nicolas Schreuder},
    		title		= {A nonasymptotic law of iterated logarithm for general M-estimators},
   		pages		= {1-8},
		booktitle	= {AISTATS 2020},
		year		= 2020,
   		url 		= {https://arxiv.org/pdf/1903.06576.pdf},
		}		
		
	@article{bateni2019confidence,
    		title={Confidence regions and minimax rates in outlier-robust estimation on the probability simplex},
    		author={Amir-Hossein Bateni and Arnak S. Dalalyan},
    		doi = "10.1214/20-EJS1731",
		fjournal = "Electronic Journal of Statistics",
		journal = "Electron. J. Statist.",
		number = "2",
		pages = "2653--2677",
		title = "Confidence regions and minimax rates in outlier-robust estimation on the probability simplex",
		url = "https://doi.org/10.1214/20-EJS1731",
		volume = "14",
		year = "2020",
   		}
		
	@techreport{DalThomp2018,
   		author		= {Philip Thompson and Arnak S. Dalalyan},
    		title		= {Restricted eigenvalue property for corrupted Gaussian designs},
		institution 	= "arXiv",
   		number		= {1805.08020},
   		month		= "May",
		type		= {unpublished},
		year		= 2018,
   		url 		= {http://arxiv.org/pdf/1805.08020},
		}
		
	@article{DalRiou2020,
   		author		= {Arnak S. Dalalyan and Lionel Riou-Durand},
    		title		= {On sampling from a log-concave density using kinetic Langevin diffusions},
		volume	 	= {26},
   		number		= {3},
   		pages		= {1956-1988},
		journal		= {Bernoulli},
		year		= 2020,
   		url 		= {https://projecteuclid.org/euclid.bj/1587974530},
		}
		
	@article{DalEWA2018,
   		author		= {Arnak S. Dalalyan},
    		title		= {Exponential weights in multivariate regression and a low-rankness favoring prior},
		volume	 	= {56},
   		number		= {2},
   		journal		= {Ann. Inst. H. Poincaré Probab. Statist.},
		year		= {2020},
		pages 		= {1465-1483},
   		url 		= {https://arxiv.org/pdf/1806.09405.pdf},
		}

	@article{ColDal17a,
		author	   = {Olivier Collier and Arnak S. Dalalyan},
		title 	   = {Rate-optimal estimation of p-dimensional linear functionals in a sparse Gaussian model},
		journal    = {Electron. J. Statist.},
		number    = {2},
		pages     = {2830-2864},
		volume    = {13},
		year      = {2019},
		url       = {http://projecteuclid.org/download/pdfview_1/euclid.ejs/1567065621}
		}	
		
	@article{ColDal18,
		author	   = {Olivier Collier and Arnak S. Dalalyan},
		title 	   = {Estimating linear functionals of a sparse family of Poisson means},
		journal    = {Statistical Inference for Stochastic Processes},
		number    = {2},
		pages     = {331-344},
		volume	  = {21},
		month     = {Jul},
		year      = {2018},
		url       = {https://arxiv.org/pdf/1712.01775}
		}
		
		
	@article{DalKar17,
		author	   = {Arnak S. Dalalyan and Avetik Karagulyan},
		title 	   = {User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient},		
		journal    = {Stoch. Proc. Appl.},
		number     = {12},
		volume     = {129},
		pages      = {5278-5311},		
		year       = {2019},				
		url        = {https://arxiv.org/pdf/1710.00095}
		}	
		
	@InProceedings{pmlr-v65-dalalyan17a,
  		title = {Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent},
  		author = {Arnak Dalalyan},
  		booktitle = {Proceedings of the 2017 Conference on Learning Theory},
  		pages = {678--689},
  		year = 	 {2017},
  		volume = 	 {65},
  		series = 	 {Proceedings of Machine Learning Research},
  		month = 	 {07--10 Jul},
  		publisher = 	 {PMLR},
  		pdf = 	 {http://proceedings.mlr.press/v65/dalalyan17a/dalalyan17a.pdf},
  		url = 	 {http://proceedings.mlr.press/v65/dalalyan17a.html},  
		}

	@article{DSebbar18,
		author	   = {Arnak S. Dalalyan and Mehdi Sebbar},
		title 	   = {Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood},
		journal    = {Math. Stat. Learn.},
		volume    = {1},
		pages     = {1-35},
		year      = {2018},
		url       = {https://www.ems-ph.org/journals/show_pdf.php?issn=2520-2316&vol=1&iss=1&rank=1}
		}
	@article{DGP18,
		author	   = {Arnak S. Dalalyan and Edwin Grappin and Quentin Paris},
		title 	   = {On the Exponentially Weighted Aggregate with the Laplace Prior},
		journal   = {Ann. Statist.},
		number    = {5},
		pages     = {2452-2478},
		volume    = {46},
		year      = {2018},
		url       = {https://arxiv.org/pdf/1611.08483}
		}
	@article{BDGP16,
		author	   = {Pierre C. Bellec and Arnak S. Dalalyan and Edwin Grappin and Quentin Paris},
		title 	   = {On the prediction loss of the lasso in the partially labeled setting},
		journal   = {Electron. J. Stat.},
		number    = {2},
		pages     = {3443-3472},
		volume    = {12},
		year      = {2018},
		url       = {http://arxiv.org/pdf/1606.06179}
		}
		
	@techreport{BalDal15b,
		author	   = {Samuel Balmand and Arnak S. Dalalyan},
		title 	   = {Convex programming approach to robust estimation of a multivariate Gaussian model},
		institution = {arXiv},
		number    = {1512.04734},
		pages     = {1-31},
		month     = {December},
		type      = {unpublished},
		year      = {2015},
		url       = {http://arxiv.org/pdf/1512.04734v3.pdf}
		}
		
	@article {BalDal16,
	    AUTHOR = {Samuel Balmand and Arnak S. Dalalyan},
	     TITLE = {On estimation of the diagonal elements of a sparse precision
              matrix},
	   JOURNAL = {Electron. J. Stat.},
	  FJOURNAL = {Electronic Journal of Statistics},
	    VOLUME = {10},
	      YEAR = {2016},
	    NUMBER = {1},
	     PAGES = {1551--1579},
	      ISSN = {1935-7524},
	   MRCLASS = {62H12},
	  MRNUMBER = {3507373},
	       DOI = {10.1214/16-EJS1148},
	       URL = {http://dx.doi.org/10.1214/16-EJS1148},
		}

	@article{Dal15,
		author	   = {Arnak S. Dalalyan},
		title 	   = {Discussion on the paper: Hypotheses testing by convex optimization},
		  JOURNAL = {Electron. J. Stat.},
		 FJOURNAL = {Electronic Journal of Statistics},
		volume    = {9},
		number    = {2},
		pages     = {1733--1737},
		year      = {2015},
		url       = {http://arxiv.org/pdf/1502.00600v1.pdf}
		}
	@article{Dal14,
		author	   = {Arnak S. Dalalyan},
		title 	   = {Theoretical guarantees for approximate sampling from a smooth and log-concave density},
		   JOURNAL = {J. R. Stat. Soc. B},
		 FJOURNAL = {J. R. Stat. Soc. B},
		volume    = {79},
		number    = {},
		pages     = {651–676},
		year      = {2017},
		url       = {http://arxiv.org/pdf/1412.7392v3.pdf},
		doi       = {10.1111/rssb.12183},
		}
	@article{DHL,
		author	   = {Arnak S. Dalalyan and Mohamed Hebiri and Johannes Lederer},
		title 	   = {On the Prediction Performance of the Lasso},
		  JOURNAL = {Bernoulli},
		volume    = {23},
		number    = {1},
		pages     = {552-581},
		year      = {2017},
		url       = {http://projecteuclid.org/download/pdfview_1/euclid.bj/1475001366}
		}
	@inproceedings{jmlr_DalalyanC13,
		author    = {Olivier Collier and Arnak S. Dalalyan},
		title     = {Permutation estimation and minimax rates of identifiability},
		booktitle = {Journal of Machine Learning Research - W {&} CP  31 (AI-STATS 2013)},
		year      = {2013},
		pages     = {10-19},
		url       = {http://hal-enpc.archives-ouvertes.fr/docs/00/78/79/16/PDF/CollierDalalyan_aistats2013.pdf},
		bibsource = {DBLP, http://dblp.uni-trier.de}
		}

	@inproceedings{DHMS13,
	  	author    = {Arnak S. Dalalyan and Mohamed Hebiri and Katia Meziani and Joseph Salmon},
	  	title     = {Learning Heteroscedastic Models by Convex Programming under Group Sparsity},
	  	booktitle = {Journal of Machine Learning Research - W {&} CP  28(3) (ICML 2013)},
	  	year      = {2013},
	  	pages     = {379–387},
	  	url       = {http://hal-enpc.archives-ouvertes.fr/docs/00/81/39/08/PDF/Var_adap_ICML2013.pdf},
		}
	
	@inproceedings{DalalyanC12,
	  	author    = {Arnak S. Dalalyan and Yin Chen},
	  	title     = {Fused sparsity and robust estimation for linear models with unknown variance},
	  	booktitle = {Advances in Neural Information Processing Systems 25:  NIPS},
  		year      = {2012},
	  	pages     = {1268-1276},
	  	url       = {http://books.nips.cc/papers/files/nips25/NIPS2012_0616.pdf},
		}

	@article{CD16a,
		author	   = {Olivier Collier and Arnak S. Dalalyan},
		title 	   = {Minimax rates in permutation estimation for feature matching},
		journal   = {Journal of Machine Learning Research},
		volume    = {17},
		number    = {6},
		pages     = {1-32},
		year      = {2016},
		url       = {http://jmlr.org/papers/volume17/collier16a/collier16a.pdf}
		}
	@article{CD11c,
		author	   = {Olivier Collier and Arnak S. Dalalyan},
		title 	   = {Curve registration by nonparametric goodness-of-fit testing},
		   JOURNAL = {J. Statist. Plann. Inference},
		  FJOURNAL = {Journal of Statistical Planning and Inference},
		volume    = {162},		
		number    = {},
		pages     = {20-42},
		year      = {2015},
		month	   = {July},
		doi       = {10.1016/j.jspi.2015.02.004},
		url       = {http://arxiv.org/pdf/1104.4210v5.pdf}
		}
	@article{DIT12,
		  author = {Arnak S. Dalalyan and Yurii Ingster and Alexandre B. Tsybakov},
		   title = {Statistical inference in compound functional models},
		 JOURNAL = {Probab. Theory Related Fields},
		  FJOURNAL = {Probability Theory and Related Fields},
		  volume = {158},
		  number = {3},
		   pages = {512-532},
		    year = {2014},
		     doi = {10.1007/s00440-013-0487-y},
		     url = {http://de.arxiv.org/PS_cache/arxiv/pdf/1208/1208.6402v3.pdf}
		}

	@article{CD13,
		  author = {La{e}titia Comminges and Arnak S. Dalalyan},
		   title = {Minimax testing of a composite null hypothesis defined
				via a quadratic functional in the model of regression},
		 JOURNAL = {Electron. J. Stat.},
	       FJOURNAL = {Electronic Journal of Statistics},
		  volume = {7},
		  number = {},
		   pages = {146--190},
		    year = {2013},
		     doi = {10.1214/13-EJS766},
		     url = {http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdfview_1&handle=euclid.ejs/1359041588},
		     url = {http://arxiv.org/pdf/1208.1823.pdf}
		}	

	@article{CD11a,
	  author = {La{\"e}titia Comminges and Arnak S. Dalalyan},
	   title = {Tight conditions for consistency of variable selection
	            in the context of high dimensionality},
	 journal = {Ann. Statist},
	  volume = {40},
	  number = {5},
	   pages = {2667-2696},
	    year = {2012},
	     doi = {10.1214/12-AOS1046},
	     url = {http://arxiv.org/pdf/1106.4293v4.pdf}
		}	


	@article{DS11,
	  author = {Arnak S. Dalalyan and Joseph Salmon},
	   title = {Sharp Oracle Inequalities for Aggregation of
	            Affine Estimators},
	 journal = {Ann. Statist.},
	  volume = {40},
	  number = {4},
	   pages = {2327–2355},
	    year = {2012},
	     url = {http://arxiv.org/pdf/1104.3969v4.pdf},
	     doi = {10.1214/12-AOS1038}
		}


	@article {Dal12,
	    author = {Arnak S. Dalalyan},
	     title = {SOCP based variance free Dantzig Selector with
	              application to robust estimation},
	   journal = {C. R. Math. Acad. Sci. Paris},
	    volume = {350},
	      year = {2012},
	    number = {15-16},
	     pages = {785–788},
	       doi = {10.1016/j.crma.2012.09.016},
	       url = {http://dx.doi.org/10.1016/j.crma.2012.09.016}
		}
	
	@article {DT12b,
	    author = {Arnak S. Dalalyan and  Alexandre B. Tsybakov},
	     title = {Mirror averaging with sparsity priors},
	   journal = {Bernoulli},
	    volume = {18},
	      year = {2012},
	    number = {3},
	     pages = {914--944},
	       doi = {10.3150/11-BEJ361},
	       url = {http://arxiv.org/pdf/1003.1189v4.pdf},
		}
		

	@article {DK12,
	    author = {Arnak  S. Dalalyan and Renaud Keriven},
	     title = {Robust estimation for an inverse problem arising in multiview
	              geometry},
	   journal = {J. Math. Imaging Vision},
	    volume = {43},
	      year = {2012},
	    number = {1},
	     pages = {10--23},
	       doi = {10.1007/s10851-011-0281-3},
	       url = {http://dx.doi.org/10.1007/s10851-011-0281-3},
		}
		

	@article {DT12a,
	    author = {Arnak S. Dalalyan and  Alexandre B. Tsybakov},
	     title = {Sparse regression learning by aggregation and {L}angevin
	              {M}onte-{C}arlo},
	   journal = {J. Comput. System Sci.},
	    volume = {78},
	      year = {2012},
	    number = {5},
	     pages = {1423--1443},
	       doi = {10.1016/j.jcss.2011.12.023},
	        ee = {http://dx.doi.org/10.1016/j.jcss.2011.12.023},
	       url = {http://hal.archives-ouvertes.fr/docs/00/45/68/06/PDF/HAL_EWA_LMC.pdf}
		}
		

	@article {Dal_IJCV,
	    author = {J{\'e}r{o}me Courchay and Arnak S. Dalalyan  and Renaud Keriven and Peter Sturm},
	     title = {On {C}amera calibration with linear programming and loop
	              constraint linearization},
	   journal = {Int. J. Comput. Vis.},
	    volume = {97},
	      year = {2012},
	    number = {1},
	     pages = {71--90},
	       doi = {10.1007/s11263-011-0483-6},
	        ee = {http://dx.doi.org/10.1007/s11263-011-0483-6},
       	url = {http://imagine.enpc.fr/~dalalyan/Download/IJCV_calib.pdf},
		}
		

	@article {DY11,
	    author = {Arnak S. Dalalyan and Nakahiro Yoshida},
	     title = {Second-order asymptotic expansion for a non-synchronous
	              covariation estimator},
	   journal = {Ann. Inst. Henri Poincar\'e Probab. Stat.},
	    volume = {47},
	      year = {2011},
	    number = {3},
	     pages = {748--789},
       	doi = {10.1214/10-AIHP383},
		url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Yos2011.pdf},
		}
		

	@article {DN11,
	    author = {Arnak S. Dalalyan  and Boris S. Nahapetian},
	     title = {Description of random fields by means of one-point
	              finite-conditional distributions},
	   journal = {J. Contemp. Math. Anal.},
	    volume = {46},
	      year = {2011},
	    number = {2},
	     pages = {113--119},
	       doi = {10.3103/S1068362311020075},
	       url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Nah2011.pdf},
		}
		
	@article{DT08,  
	  author = {Arnak S. Dalalyan and Alexandre B. Tsybakov},
	   title = {Aggregation by exponential weighting, sharp PAC-Bayesian bounds 
	            and sparsity},
	 journal = {Machine Learning},
	  volume = {72},
	  number = {1-2},
	   pages = {39-61},
	    year = {2008},
	     doi = {10.1007/s10994-008-5051-0} ,
	     url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Tsyb2008.pdf},
		}

	@article{DalalyanJS08,
	  author    = {Arnak S. Dalalyan and
	               Anatoli Juditsky and
	               Vladimir Spokoiny},
	  title     = {A New Algorithm for Estimating the Effective Dimension-Reduction
	               Subspace},
	  journal   = {Journal of Machine Learning Research},
	  volume    = {9},
	  year      = {2008},
	  pages     = {1647-1678},
	  url       = {http://jmlr.csail.mit.edu/papers/volume9/dalalyan08a/dalalyan08a.pdf},
		}

	@inproceedings{DT07,
	    author = {Arnak S. Dalalyan and Alexandre B. Tsybakov},
	     title = {Aggregation by exponential weighting and sharp oracle
	              inequalities},
	 booktitle = {Learning theory (COLT2007), Lecture Notes in Comput. Sci., Vol. 4539},
	     pages = {97--111},
	      year = {2007},
	       doi = {10.1007/978-3-540-72927-3_9},
	       url = {http://dx.doi.org/10.1007/978-3-540-72927-3_9},
		}
		

	@article {Dal08,
	    author = {Arnak S. Dalalyan},
	     title = {Stein shrinkage and second-order efficiency for semiparametric
	              estimation of the shift},
	   journal = {Math. Methods Statist.},
	  fjournal = {Mathematical Methods of Statistics},
	    volume = {16},
	      year = {2007},
	    number = {1},
	     pages = {42--62},
	       doi = {10.3103/S1066530707010048},
	       url = {http://certis.enpc.fr/~dalalyan/Download/Dal_MMS2007.pdf},
}

@article {DR2,
    author = {Arnak S. Dalalyan and Markus Rei{\ss}},
     title = {Asymptotic statistical equivalence for ergodic diffusions: the
              multidimensional case},
   journal = {Probab. Theory Related Fields},
  fjournal = {Probability Theory and Related Fields},
    volume = {137},
      year = {2007},
    number = {1-2},
     pages = {25--47},
       doi = {10.1007/s00440-006-0502-7},
			 url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Reiss2007.pdf},
}
		

@article {DGT,
    author = {Arnak S. Dalalyan and G. K. Golubev and Alexandre B. Tsybakov},
     title = {Penalized maximum likelihood and semiparametric second-order
              efficiency},
   journal = {Ann. Statist.},
  fjournal = {The Annals of Statistics},
    volume = {34},
      year = {2006},
    number = {1},
     pages = {169--201},
       doi = {10.1214/009053605000000895},
       url = {http://dx.doi.org/10.1214/009053605000000895},
}

		

@article {DR06,
    author = {Arnak S. Dalalyan and Markus Rei{\ss}},
     title = {Asymptotic statistical equivalence for scalar ergodic
              diffusions},
   journal = {Probab. Theory Related Fields},
  fjournal = {Probability Theory and Related Fields},
    volume = {134},
      year = {2006},
    number = {2},
     pages = {248--282},
       doi = {10.1007/s00440-004-0416-1},
       url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Reiss2006.pdf},
}
		

@article {Dal05,
    author = {Arnak S. Dalalyan},
     title = {Sharp adaptive estimation of the drift function for ergodic
              diffusions},
   journal = {Ann. Statist.},
  fjournal = {The Annals of Statistics},
    volume = {33},
      year = {2005},
    number = {6},
     pages = {2507--2528},
       doi = {10.1214/009053605000000615},
       url = {http://dx.doi.org/10.1214/009053605000000615},
}
		

@article {DK3,
    author = {Arnak S. Dalalyan and Yury A. Kutoyants},
     title = {On second order minimax estimation of invariant density for
              ergodic diffusion},
   journal = {Statist. Decisions},
  fjournal = {Statistics \& Decisions. International Journal for Statistical
              Theory and Related Fields},
    volume = {22},
      year = {2004},
    number = {1},
     pages = {17--41},
       doi = {10.1524/stnd.22.1.17.32718},
       url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Kut2004.pdf},
}
		

@article {DK2,
    author = {Arnak S. Dalalyan and Yury A. Kutoyants},
     title = {Asymptotically efficient estimation of the derivative of the
              invariant density},
   journal = {Stat. Inference Stoch. Process.},
  fjournal = {Statistical Inference for Stochastic Processes. An
              International Journal Devoted to Time Series Analysis and the
              Statistics of Continuous Time Processes and Dynamical Systems},
    volume = {6},
      year = {2003},
    number = {1},
     pages = {89--107},
       doi = {10.1023/A:1022604827156},
       url = {http://certis.enpc.fr/~dalalyan/Download/Dal_Kut2003.pdf},
}
		

@article {DK1,
    author = {Arnak S. Dalalyan and Yury A. Kutoyants},
     title = {Asymptotically efficient trend coefficient estimation for
              ergodic diffusion},
   journal = {Math. Methods Statist.},
  fjournal = {Mathematical Methods of Statistics},
    volume = {11},
      year = {2002},
    number = {4},
     pages = {402--427 (2003)},
       url = {http://certis.enpc.fr/~dalalyan/Download/Trend.pdf}
}


@inproceedings{jmlr_DalalyanC12,
  author    = {Arnak S. Dalalyan and
               Olivier Collier},
  title     = {Wilks' phenomenon and penalized likelihood-ratio test for
               nonparametric curve registration},
  booktitle = {Journal of Machine Learning Research - Proceedings Track 22},
  year      = {2012},
  pages     = {264-272},
  url        = {http://jmlr.csail.mit.edu/proceedings/papers/v22/dalalyan12/dalalyan12.pdf},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@inproceedings{jmlr_CommingesD11,
  author    = {La{e}titia Comminges and
               Arnak S. Dalalyan},
  title     = {Tight conditions for consistent variable selection in high
               dimensional nonparametric regression},
  booktitle = {Journal of Machine Learning Research - Proceedings Track 19},
  year      = {2011},
  pages     = {187-206},
  url       = {http://www.jmlr.org/proceedings/papers/v19/comminges11a/comminges11a.pdf},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@inproceedings{Del_Sal_Dal_11,
  author     = {Charles-Alban Deledalle and Joseph Salmon and Arnak S. Dalalyan},
  title      = {Image denoising with patch based {PCA}: local versus global},
  year       = {2011},
  pages      = {25.1--25.10},
  booktitle  = {{Proceedings of the British Machine Vision Conference}},
  doi       =  {{http://dx.doi.org/10.5244/C.25.25}},
  url       =  {{http://dx.doi.org/10.5244/C.25.25}}
}

@inproceedings{jmlr_SalmonD11,
  author    = {Joseph Salmon and
               Arnak S. Dalalyan},
  title     = {Optimal aggregation of affine estimators},
  booktitle   = {Journal of Machine Learning Research - Proceedings Track 19},
  year      = {2011},
  pages     = {635-660},
  url       = {http://www.jmlr.org/proceedings/papers/v19/salmon11a/salmon11a.pdf},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@inproceedings{alt_DalalyanS11,
  author    = {Arnak S. Dalalyan and
               Joseph Salmon},
  title     = {Competing against the Best Nearest Neighbor Filter in Regression},
  booktitle = {Algorithmic Learning Theory - 22nd International Conference,
               ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings},
  year      = {2011},
  pages     = {129-143},
  url       = {http://dx.doi.org/10.1007/978-3-642-24412-4_13},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@inproceedings{eccv_CourchayDKS10,
  author    = {J{\'e}r{o}me Courchay and
               Arnak S. Dalalyan and
               Renaud Keriven and
               Peter F. Sturm},
  title     = {Exploiting Loops in the Graph of Trifocal Tensors for Calibrating
               a Network of Cameras},
  booktitle = {Computer Vision - ECCV 2010, 11th European Conference on
               Computer Vision, Heraklion, Crete, Greece, September 5-11,
               2010, Proceedings, Part II},
  year      = {2010},
  pages     = {85-99},
  url       = {http://imagine.enpc.fr/~dalalyan/Download/Courchay_et_al.pdf},
  url       = {http://dx.doi.org/10.1007/978-3-642-15552-9_7},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

@inproceedings{3DPVT_CourchayDKS10,
  author    = {J{\'e}r{o}me Courchay and
               Arnak S. Dalalyan and
               Renaud Keriven and
               Peter F. Sturm},
  title     = {A global camera network calibration method with Linear Programming},
  booktitle = {3DPVT2010},
  year      = {2010},
  pages     = {1-8},
  url        = {http://campwww.informatik.tu-muenchen.de/3DPVT2010/data/media/e-proceeding/papers/paper088.pdf},
}

@inproceedings{eccv_BehmoMDP10,
  author    = {R{\'e}gis Behmo and
               Paul Marcombes and
               Arnak S. Dalalyan and
               V{\'e}ronique Prinet},
  title     = {Towards Optimal Naive Bayes Nearest Neighbor},
  booktitle = {Computer Vision - ECCV 2010, 11th European Conference on
               Computer Vision, Heraklion, Crete, Greece, September 5-11,
               2010, Proceedings, Part IV},
  year      = {2010},
  pages     = {171-184},
  url        = {http://dx.doi.org/10.1007/978-3-642-15561-1_13},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

	@inproceedings{colt_DalalyanT09,
	  author    = {Arnak S. Dalalyan and
       	        Alexandre B. Tsybakov},
	  title     = {Sparse Regression Learning by Aggregation and Langevin Monte-Carlo},
	  booktitle = {COLT 2009 - The 22nd Conference on Learning Theory, Montreal,
	               Quebec, Canada, June 18-21, 2009},
	  year      = {2009},
	  url       = {http://www.cs.mcgill.ca/~colt2009/papers/009.pdf},
	  bibsource = {DBLP, http://dblp.uni-trier.de},
	  pages     = {1-10}
		}
	@inproceedings{DK_MLVMA, 
	  author    = {Arnak S. Dalalyan and Renaud Keriven}, 
         booktitle = {Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on}, title={Sparse learning approach to the problem of robust estimation of camera locations}, 
		year = {2009}, 
	      month = {27 2009-oct. 4}, 
	      pages = {436 -443}, 
		 url = {http://certis.enpc.fr/~dalalyan/Download/MLVMA_09.pdf},
		 doi = {10.1109/ICCVW.2009.5457669}, 
		}

	@inproceedings{nips_DalalyanK09,
	  author    = {Arnak S. Dalalyan and Renaud Keriven},
	  title     = {L_1-Penalized Robust Estimation for a Class of Inverse
	               Problems Arising in Multiview Geometry},
	  booktitle = {Advances in Neural Information Processing Systems 22: 23rd
	               Annual Conference on Neural Information Processing Systems
	               2009. Proceedings of a meeting held 7-10 December 2009,
	               Vancouver, British Columbia, Canada},
	  year      = {2009},
	  pages     = {441-449},
	  url       = {http://books.nips.cc/papers/files/nips22/NIPS2009_0132.pdf},
	  bibsource = {DBLP, http://dblp.uni-trier.de}
	}
	
Last update: May 29, 2015