Co-occurring keywords · papers mentioning both
Papers
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
ICLR 2025
Solving Zero-Sum Convex Markov Games
ICML 2025
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
JMLR 2022
Robust Estimation of Laplacian Constrained Gaussian Graphical Models with Trimmed Non-convex Regularization
PGM 2022
Adaptive Proximal Gradient Methods for Structured Neural Networks
NeurIPS 2021
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
ICML 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python
JMLR 2019
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization
ACML 2016
Semiparametric Differential Graph Models
NeurIPS 2016
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers
AISTATS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
NeurIPS 2013
Multi-stage Convex Relaxation for Learning with Sparse Regularization
NeurIPS 2008