Defeng Sun
12 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
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JMLR (8)
AAAI (1)
ICLR (1)
ICML (1)
NIPS (1)
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Keywords
augmented lagrangian method
(4)
semismooth newton method
(3)
alternating direction method of multiplier
(3)
convex clustering
(3)
sparse optimization
(2)
augmented lagrangian
(2)
semismooth newton
(2)
matrix factorization
(1)
convex optimization
(1)
federated learning
(1)
primal-dual optimization
(1)
sparse estimation
(1)
tensor decomposition
(1)
dimension reduction
(1)
global convergence
(1)
optimal transport
(1)
non-convex optimization
(1)
sparse regression
(1)
matrix optimization
(1)
clustering optimization
(1)
Papers
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
JMLR 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition
JMLR 2025
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
ICLR 2025
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NIPS 2024
Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure
JMLR 2024
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation
JMLR 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
AAAI 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