Martin Slawski

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 26

Top Venues

CoRR

NIPS

IEEE Trans. Inf. Theory

Int. J. Comput. Assist. Radiol. Surg.

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Zhenbang Wang, Emanuel Ben-David, Martin Slawski
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group. AISTATS (2023)
Martin Slawski, Bodhisattva Sen
: an approach based on mixture modeling and optimal transport. CoRR (2022)
Hang Zhang, Martin Slawski, Ping Li
The Benefits of Diversity: Permutation Recovery in Unlabeled Sensing From Multiple Measurement Vectors. IEEE Trans. Inf. Theory 68 (4) (2022)
Zhenbang Wang, Emanuel Ben-David, Martin Slawski
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group. CoRR (2021)
Martin Slawski, Guoqing Diao, Emanuel Ben-David
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data. J. Comput. Graph. Stat. 30 (4) (2021)
Xiaochen Zhu, Martin Slawski, P. Jonathon Phillips, Liansheng Larry Tang
Order-Constrained ROC Regression With Application to Facial Recognition. Technometrics 63 (3) (2021)
Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Yujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data. IEEE BigData (2020)
Felicitas J. Detmer, Daniel Lückehe, Fernando Mut, Martin Slawski, Sven Hirsch, Philippe Bijlenga, Gabriele von Voigt, Juan R. Cebral
Comparison of statistical learning approaches for cerebral aneurysm rupture assessment. Int. J. Comput. Assist. Radiol. Surg. 15 (1) (2020)
Martin Slawski, Emanuel Ben-David, Ping Li
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. J. Mach. Learn. Res. 21 (2020)
Martin Slawski, Mostafa Rahmani, Ping Li
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI (2019)
Martin Slawski, Emanuel Ben-David, Ping Li
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data. CoRR (2019)
Hang Zhang, Martin Slawski, Ping Li
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. ISIT (2019)
Hang Zhang, Martin Slawski, Ping Li
Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing. CoRR (2019)
Martin Slawski, Guoqing Diao, Emanuel Ben-David
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. CoRR (2019)
Felicitas J. Detmer, Bong Jae Chung, Fernando Mut, Martin Slawski, Farid Hamzei-Sichani, Christopher M. Putman, Carlos Jiménez, Juan R. Cebral
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. 13 (11) (2018)
Martin Slawski, Ping Li
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 64 (6) (2018)
Liang Zhao, Amir Alipour-Fanid, Martin Slawski, Kai Zeng
Prediction-time Efficient Classification Using Feature Computational Dependencies. KDD (2018)
Ping Li, Martin Slawski
Simple strategies for recovering inner products from coarsely quantized random projections. NIPS (2017)
Martin Slawski
Compressed Least Squares Regression revisited. AISTATS (2017)
Ping Li, Michael Mitzenmacher, Martin Slawski
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity. NIPS (2016)
Ping Li, Syama Sundar Rangapuram, Martin Slawski
Methods for Sparse and Low-Rank Recovery under Simplex Constraints. CoRR (2016)
Martin Slawski, Ping Li
Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements. CoRR (2016)
Martin Slawski, Ping Li
b-bit Marginal Regression. NIPS (2015)
Martin Slawski, Ping Li, Matthias Hein
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices. CoRR (2015)
Martin Slawski, Ping Li, Matthias Hein
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices. NIPS (2015)
Martin Slawski, Matthias Hein, Pavlo Lutsik
Matrix factorization with Binary Components. CoRR (2014)
Martin Slawski, Matthias Hein, Pavlo Lutsik
Matrix factorization with binary components. NIPS (2013)
Martin Slawski
The structured elastic net for quantile regression and support vector classification. Stat. Comput. 22 (1) (2012)
Martin Slawski, Rene Hussong, Andreas Tholey, Thomas Jakoby, Barbara Gregorius, Andreas Hildebrandt, Matthias Hein
Isotope pattern deconvolution for peptide mass spectrometry by non-negative least squares/least absolute deviation template matching. BMC Bioinform. 13 (2012)
Martin Slawski, Matthias Hein
Sparse recovery by thresholded non-negative least squares. NIPS (2011)
Anne-Laure Boulesteix, Martin Slawski
Stability and aggregation of ranked gene lists. Briefings Bioinform. 10 (5) (2009)
Martin Slawski, Martin Daumer, Anne-Laure Boulesteix
CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinform. 9 (2008)

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Publication Activity (10 Years)

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Martin Slawski