
Scalable Bayesian change point detection with spike and slab priors
We study the use of spike and slab priors for consistent estimation of t...
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Lattice partition recovery with dyadic CART
We study piecewise constant signals corrupted by additive Gaussian nois...
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Optimal network online change point localisation
We study the problem of online network change point detection. In this s...
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Nonparametric Quantile Regression via the KNN Fused Lasso
Quantile regression is a statistical method for estimating conditional q...
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Quantile regression with ReLU Networks: Estimators and minimax rates
Quantile regression is the task of estimating a specified percentile res...
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Extensions to the Proximal Distance of Method of Constrained Optimization
The current paper studies the problem of minimizing a loss f(x) subject ...
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Adaptive Quantile Trend Filtering
We study quantile trend filtering, a recently proposed method for onedi...
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A Note on Online Change Point Detection
Online change point detection is originated in sequential analysis, whic...
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Energy distance and kernel mean embeddings for twosample survival testing
We study the comparison problem of distribution equality between two ran...
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High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing
We propose a generalization of the linear panel quantile regression mode...
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Change point localization in dependent dynamic nonparametric random dot product graphs
In this paper, we study the change point localization problem in a seque...
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Optimal nonparametric multivariate change point detection and localization
We study the multivariate nonparametric change point detection problem, ...
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Optimal nonparametric change point detection and localization
We study change point detection and localization for univariate data in ...
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Adaptive NonParametric Regression With the KNN Fused Lasso
The fused lasso, also known as totalvariation denoising, is a locallya...
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Distributed Cartesian Power Graph Segmentation for Graphon Estimation
We study an extention of total variation denoising over images to over C...
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Graphon estimation via nearest neighbor algorithm and 2D fused lasso denoising
We propose a class of methods for graphon estimation based on exploiting...
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VectorSpace Markov Random Fields via Exponential Families
We present VectorSpace Markov Random Fields (VSMRFs), a novel class of...
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Tensor decomposition with generalized lasso penalties
We present an approach for penalized tensor decomposition (PTD) that est...
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Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes
We define a family of probability distributions for random count matrice...
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Oscar Hernan Madrid Padilla
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