3 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.ME2025
Reconstruct Ising Model with Global Optimality via SLIDE
Xuanyu Chen, Jin Zhu, Junxian Zhu +2
The reconstruction of interaction networks between random events is a critical problem arising from statistical physics and politics, sociology, biology, psychology, and beyond. Th…
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…