Defeng Sun

9 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)