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Stanislav Minsker
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2020 – today
- 2024
- [j6]Stanislav Minsker
, Mohamed Ndaoud, Lang Wang:
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope. SIAM J. Math. Data Sci. 6(2): 428-453 (2024) - [j5]Stanislav Minsker
, Nate Strawn:
The Geometric Median and Applications to Robust Mean Estimation. SIAM J. Math. Data Sci. 6(2): 504-533 (2024) - 2023
- [c4]Stanislav Minsker:
Efficient median of means estimator. COLT 2023: 5925-5933
2010 – 2019
- 2019
- [i5]Stanislav Minsker, Timothée Mathieu:
Excess risk bounds in robust empirical risk minimization. CoRR abs/1910.07485 (2019) - 2018
- [j4]Larry Goldstein, Stanislav Minsker
, Xiaohan Wei
:
Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements. IEEE Trans. Inf. Theory 64(8): 5513-5530 (2018) - 2017
- [j3]Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson:
Robust and Scalable Bayes via a Median of Subset Posterior Measures. J. Mach. Learn. Res. 18: 124:1-124:40 (2017) - [c3]Xiaohan Wei, Stanislav Minsker:
Estimation of the covariance structure of heavy-tailed distributions. NIPS 2017: 2859-2868 - [i4]Stanislav Minsker, Nate Strawn:
Distributed Statistical Estimation and Rates of Convergence in Normal Approximation. CoRR abs/1704.02658 (2017) - 2016
- [j2]Mauro Maggioni, Stanislav Minsker, Nate Strawn:
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness. J. Mach. Learn. Res. 17: 2:1-2:51 (2016) - 2014
- [c2]Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson:
Scalable and Robust Bayesian Inference via the Median Posterior. ICML 2014: 1656-1664 - [i3]Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson:
Robust and scalable Bayes via a median of subset posterior measures. CoRR abs/1403.2660 (2014) - [i2]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [c1]Stanislav Minsker:
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling. COLT 2013: 105-121 - 2012
- [b1]Stanislav Minsker:
Non-asymptotic bounds for prediction problems and density estimation. Georgia Institute of Technology, Atlanta, GA, USA, 2012 - [j1]Stanislav Minsker:
Plug-in Approach to Active Learning. J. Mach. Learn. Res. 13: 67-90 (2012) - 2011
- [i1]Stanislav Minsker:
Plug-in Approach to Active Learning. CoRR abs/1104.1450 (2011)
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last updated on 2024-07-20 20:33 CEST by the dblp team
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