Co-occurring keywords · papers mentioning both
Papers
A causal fused lasso for interpretable heterogeneous treatment effects estimation
JMLR 2026
Variance estimation in graphs with the fused lasso
JMLR 2024
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
AISTATS 2022
Non-parametric Quantile Regression via the K-NN Fused Lasso
JMLR 2021
Learning (from) Deep Hierarchical Structure among Features
AAAI 2019
Modular Proximal Optimization for Multidimensional Total-Variation Regularization
JMLR 2018
Stochastic Three-Composite Convex Minimization with a Linear Operator
AISTATS 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
JMLR 2018
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
NeurIPS 2017
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration
JMLR 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
NeurIPS 2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
NeurIPS 2016
Background Subtraction via Generalized Fused Lasso Foreground Modeling
CVPR 2015
Minimizing Nonconvex Non-Separable Functions
AISTATS 2015
A Unified Robust Regression Model for Lasso-like Algorithms
ICML 2013
Polar Operators for Structured Sparse Estimation
NeurIPS 2013
Sparsistency of the Edge Lasso over Graphs
AISTATS 2012
Convex envelopes of complexity controlling penalties: the case against premature envelopment
AISTATS 2011