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08/18/2023
A scalable clustering algorithm to approximate graph cuts
Due to its computational complexity, graph cuts for cluster detection an...
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05/29/2023
Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models
Hidden Markov models (HMMs) are characterized by an unobservable (hidden...
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04/20/2023
Adaptive minimax optimality in statistical inverse problems via SOLIT – Sharp Optimal Lepskii-Inspired Tuning
We consider statistical linear inverse problems in separable Hilbert spa...
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06/10/2021
A Variational View on Statistical Multiscale Estimation
We present a unifying view on various statistical estimation techniques ...
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10/20/2020
Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Many modern statistically efficient methods come with tremendous computa...
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10/20/2020
Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries
As a classical and ever reviving topic, change point detection is often ...
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06/23/2020
Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
In this discussion, we compare the choice of seeded intervals and that o...
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02/16/2020
Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
In recent years, there has been an increasing demand on efficient algori...
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07/05/2018
Frame-constrained Total Variation Regularization for White Noise Regression
Despite the popularity and practical success of total variation (TV) reg...
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04/29/2018
A linear time algorithm for multiscale quantile simulation
Change-point problems have appeared in a great many applications for exa...
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02/28/2018