Martin Slawski
Orcid: 0000-0003-0054-4764
According to our database1,
Martin Slawski
authored at least 28 papers
between 2008 and 2023.
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Bibliography
2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors.
IEEE Trans. Inf. Theory, 2022
Permuted and Unlinked Monotone Regression in R<sup>d</sup>: an approach based on mixture modeling and optimal transport.
CoRR, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
Technometrics, 2021
J. Comput. Graph. Stat., 2021
2020
J. Mach. Learn. Res., 2020
Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
2018
On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b-Bit Quantized Linear Measurements.
IEEE Trans. Inf. Theory, 2018
Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Simple strategies for recovering inner products from coarsely quantized random projections.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
The structured elastic net for quantile regression and support vector classification.
Stat. Comput., 2012
Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matching.
BMC Bioinform., 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2009
2008
CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data.
BMC Bioinform., 2008