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2020 – today
- 2022
[j7]Christine Yuen, Piotr Fryzlewicz:
Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization. J. Comput. Graph. Stat. 31(1): 351-359 (2022)- [j6]Andreas Anastasiou, Ivor Cribben, Piotr Fryzlewicz:
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity. Medical Image Anal. 75: 102252 (2022) - [i3]Mengbing Li
, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz:
Reinforcement Learning in Possibly Nonstationary Environments. CoRR abs/2203.01707 (2022) - [i2]Jie Li, Paul Fearnhead, Piotr Fryzlewicz, Tengyao Wang:
Automatic Change-Point Detection in Time Series via Deep Learning. CoRR abs/2211.03860 (2022) - [i1]Liyuan Hu, Mengbing Li, Chengchun Shi, Zhenke Wu, Piotr Fryzlewicz:
Doubly Inhomogeneous Reinforcement Learning. CoRR abs/2211.03983 (2022) - 2021
- [j5]Rico Blaser, Piotr Fryzlewicz:
Regularizing axis-aligned ensembles via data rotations that favor simpler learners. Stat. Comput. 31(2): 15 (2021)
2010 – 2019
- 2018
- [j4]Jean Hamilton, Matthew A. Nunes, Marina I. Knight, Piotr Fryzlewicz:
Complex-Valued Wavelet Lifting and Applications. Technometrics 60(1): 48-60 (2018) - 2017
- [c1]Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk:
Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. ACSSC 2017: 1549-1554 - 2016
- [j3]Rico Blaser, Piotr Fryzlewicz:
Random Rotation Ensembles. J. Mach. Learn. Res. 17: 4:1-4:26 (2016) - 2011
- [j2]Haeran Cho, Piotr Fryzlewicz:
Multiscale interpretation of taut string estimation and its connection to Unbalanced Haar wavelets. Stat. Comput. 21(4): 671-681 (2011)
2000 – 2009
- 2006
- [j1]E. S. Motakis, Guy P. Nason, Piotr Fryzlewicz, G. A. Rutter:
Variance stabilization and normalization for one-color microarray data using a data-driven multiscale approach. Bioinform. 22(20): 2547-2553 (2006)
Coauthor Index
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