Variance stabilization and normalization for one-color microarray data using a data-driven multiscale approach. - E. S. Motakis; Guy P. Nason; Piotr Fryzlewicz; G. A. Rutter (Bioinform., 2006)

Multiscale interpretation of taut string estimation and its connection to Unbalanced Haar wavelets. - Haeran Cho; Piotr Fryzlewicz (Stat. Comput., 2011)

Random Rotation Ensembles. - Rico Blaser; Piotr Fryzlewicz (J. Mach. Learn. Res., 2016)

Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. - Xinyu Kang; Piotr Fryzlewicz; Catherine Jean Chu; Mark A. Kramer; Eric D. Kolaczyk (ACSSC, 2017)

Complex-Valued Wavelet Lifting and Applications. - Jean Hamilton; Matthew A. Nunes; Marina I. Knight; Piotr Fryzlewicz (Technometrics, 2018)

Regularizing axis-aligned ensembles via data rotations that favor simpler learners. - Rico Blaser; Piotr Fryzlewicz (Stat. Comput., 2021)

Reinforcement Learning in Possibly Nonstationary Environments. - Mengbing Li; Chengchun Shi; Zhenke Wu; Piotr Fryzlewicz (CoRR, 2022)

Automatic Change-Point Detection in Time Series via Deep Learning. - Jie Li; Paul Fearnhead; Piotr Fryzlewicz; Tengyao Wang (CoRR, 2022)

Doubly Inhomogeneous Reinforcement Learning. - Liyuan Hu; Mengbing Li; Chengchun Shi; Zhenke Wu; Piotr Fryzlewicz (CoRR, 2022)

Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity. - Andreas Anastasiou; Ivor Cribben; Piotr Fryzlewicz (Medical Image Anal., 2022)

Exploiting Disagreement Between High-Dimensional Variable Selectors for Uncertainty Visualization. - Christine Yuen; Piotr Fryzlewicz (J. Comput. Graph. Stat., 2022)