Stanislav Minsker

According to our database, Stanislav Minsker authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

The Geometric Median and Applications to Robust Mean Estimation.

Stanislav Minsker, Nate Strawn

SIAM J. Math. Data Sci., 2024

Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope.

Stanislav Minsker, Mohamed Ndaoud, Lang Wang

SIAM J. Math. Data Sci., 2024

2023

Efficient median of means estimator.

Stanislav Minsker

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2019

Excess risk bounds in robust empirical risk minimization.

Stanislav Minsker, Timothée Mathieu

CoRR, 2019

2018

Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements.

Larry Goldstein, Stanislav Minsker, Xiaohan Wei

IEEE Trans. Inf. Theory, 2018

2017

Robust and Scalable Bayes via a Median of Subset Posterior Measures.

Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson

J. Mach. Learn. Res., 2017

Distributed Statistical Estimation and Rates of Convergence in Normal Approximation.

Stanislav Minsker, Nate Strawn

CoRR, 2017

Estimation of the covariance structure of heavy-tailed distributions.

Xiaohan Wei, Stanislav Minsker

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness.

Mauro Maggioni, Stanislav Minsker, Nate Strawn

J. Mach. Learn. Res., 2016

2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

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

CoRR, 2014

Scalable and Robust Bayesian Inference via the Median Posterior.

Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling.

Stanislav Minsker

Proceedings of the COLT 2013, 2013

2012

Non-asymptotic bounds for prediction problems and density estimation.

Stanislav Minsker

PhD thesis, 2012

Plug-in Approach to Active Learning.

Stanislav Minsker

J. Mach. Learn. Res., 2012