Co-occurring keywords · papers mentioning both
Papers
Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories
UAI 2026
On the Lasso for Graphical Continuous Lyapunov Models
CLeaR 2024
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
NeurIPS 2023
Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases
MLHC 2022
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
NeurIPS 2021
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search
JMLR 2019
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations
JMLR 2018
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables
AISTATS 2018
Supervised Learning for Dynamical System Learning
NeurIPS 2015
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R
JMLR 2015
Pattern Alternating Maximization Algorithm for Missing Data in High-Dimensional Problems
JMLR 2014
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
NeurIPS 2013
A Unified Robust Regression Model for Lasso-like Algorithms
ICML 2013