Defeng Sun
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver
π
Grand Slam
ποΈ
Keyword Collector
(78)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Core Methods
(10)
Mathematics & Optimization
(9)
Optimization
(9)
Optimization & Theory
(9)
Data Science & Analytics
(2)
Deep Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Applications
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
augmented lagrangian method
(4)
alternating direction method of multiplier
(3)
semismooth newton method
(3)
convex clustering
(3)
non-convex optimization
(2)
augmented lagrangian
(2)
sparse optimization
(2)
semismooth newton
(2)
convex optimization
(1)
global convergence
(1)
spectral clustering
(1)
primal-dual optimization
(1)
composite optimization
(1)
sparse estimation
(1)
federated learning
(1)
optimal transport
(1)
sparse regression
(1)
clustering optimization
(1)
convex relaxation
(1)
l1 regularization
(1)
Papers
Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization
JMLR 2026
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
ICLR 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition
JMLR 2025
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
JMLR 2025
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure
JMLR 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NeurIPS 2024
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
AAAI 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation
JMLR 2023
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters
JMLR 2021
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
JMLR 2021
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems
JMLR 2020
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method
JMLR 2019
An Efficient Semismooth Newton based Algorithm for Convex Clustering
ICML 2018