conftrace_

sparse regression

175 papers

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Also known as

SR

Co-occurring keywords

feature selection (649) high-dimensional statistics (145) convex optimization (1321) sparse optimization (246) high-dimensional regression (142) lasso regression (61) compressed sensing (201) variable selection (146) support recovery (43) l1 regularization (87)

Papers

Online Linearized LASSO AISTATS 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023
Coordinate Descent for SLOPE AISTATS 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
Regularized Joint Mixture Models JMLR 2023
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation ICML 2022
Chunk Dynamic Updating for Group Lasso with ODEs AAAI 2022
abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022
Distilling Governing Laws and Source Input for Dynamical Systems from Videos IJCAI 2022
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits NIPS 2022
Implicit Bias of the Step Size in Linear Diagonal Neural Networks ICML 2022
The Hessian Screening Rule NIPS 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AUTOML 2022
Fast rates for noisy interpolation require rethinking the effect of inductive bias ICML 2022
Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients AISTATS 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022
Distributed Sparse Multicategory Discriminant Analysis AISTATS 2022
A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NIPS 2022
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models JMLR 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
Sparse Tensor Additive Regression JMLR 2021