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Marianna Pensky
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2020 – today
- 2024
- [j12]Majid Noroozi, Marianna Pensky:
Sparse subspace clustering in diverse multiplex network model. J. Multivar. Anal. 203: 105333 (2024) - [j11]Marianna Pensky
, Yaxuan Wang
Clustering of Diverse Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 11(4): 3441-3454 (2024) - [i7]Marianna Pensky:
Signed Diverse Multiplex Networks: Clustering and Inference. CoRR abs/2402.10242 (2024) - 2022
- [j10]Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang:
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. J. Mach. Learn. Res. 23: 330:1-330:46 (2022) - [i6]Majid Noroozi, Marianna Pensky:
Sparse Subspace Clustering in Diverse Multiplex Network Model. CoRR abs/2206.07602 (2022) - 2021
- [j9]Majid Noroozi, Marianna Pensky, Ramchandra Rimal:
Sparse Popularity Adjusted Stochastic Block Model. J. Mach. Learn. Res. 22: 193:1-193:36 (2021) - [i5]Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang:
ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network. CoRR abs/2102.10226 (2021) - 2020
- [j8]Rasika Rajapakshage
Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems? IEEE Trans. Inf. Theory 66(11): 7180-7195 (2020) - [i4]Majid Noroozi, Marianna Pensky:
Statistical Inference in Heterogeneous Block Model. CoRR abs/2002.02610 (2020)
2010 – 2019
- 2019
- [j7]Felix Abramovich, Marianna Pensky:
Classification with many classes: Challenges and pluses. J. Multivar. Anal. 174 (2019) - [j6]Maryam Jaberi
Sparse One-Grab Sampling with Probabilistic Guarantees. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3057-3070 (2019) - [i3]Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Sparse One-Time Grab Sampling of Inliers. CoRR abs/1901.02338 (2019) - [i2]Majid Noroozi, Ramchandra Rimal, Marianna Pensky:
Sparse Popularity Adjusted Stochastic Block Model. CoRR abs/1910.01931 (2019) - 2018
- [j5]Daniela De Canditiis
Denoising strategies for general finite frames. Math. Comput. Simul. 147: 90-99 (2018) - [c4]Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Probabilistic Sparse Subspace Clustering Using Delayed Association. ICPR 2018: 2087-2092 - [i1]Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Probabilistic Sparse Subspace Clustering Using Delayed Association. CoRR abs/1808.09574 (2018) - 2015
- [c3]Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall F. Tappen, Marianna Pensky:
Sparse Convolutional Neural Networks. CVPR 2015: 806-814 - [c2]Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
SWIFT: Sparse Withdrawal of Inliers in a First Trial. CVPR 2015: 4849-4857 - 2011
- [c1]Claudia Angelini
Bayesian Models for the Multi-sample Time-Course Microarray Experiments. CIBB 2011: 21-35
2000 – 2009
- 2009
- [j4]Claudia Angelini
Bayesian models for two-sample time-course microarray experiments. Comput. Stat. Data Anal. 53(5): 1547-1565 (2009) - 2008
- [j3]Claudia Angelini
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments. BMC Bioinform. 9 (2008) - 2006
- [j2]Umberto Amato
Wavelet kernel penalized estimation for non-equispaced design regression. Stat. Comput. 16(1): 37-55 (2006) - [j1]A. Heard, Marianna Pensky:
Confidence Intervals for Reliability and Quantile Functions With Application to NASA Space Flight Data. IEEE Trans. Reliab. 55(4): 591-601 (2006)
Coauthor Index
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