2 papers
stat.ML2026
Sparsity-Constraint Optimization via Splicing Iteration
Jin Zhu, Junxian Zhu, Zezhi Wang +3
Sparsity-constrained optimization underlies many problems in signal processing, statistics, and machine learning. State-of-the-art hard-thresholding (HT) algorithms rely on an appr…
stat.ML2024
skscope: Fast Sparsity-Constrained Optimization in Python
Zezhi Wang, Jin Zhu, Peng Chen +5
Applying iterative solvers on sparsity-constrained optimization (SCO) requires tedious mathematical deduction and careful programming/debugging that hinders these solvers' broad im…