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Vector-Valued Graph Trend Filtering with Non-Convex Penalties
v1v2v3 (latest)

Vector-Valued Graph Trend Filtering with Non-Convex Penalties

29 May 2019
R. Varma
Harlin Lee
J. Kovacevic
Yuejie Chi
ArXiv (abs)PDFHTML

Papers citing "Vector-Valued Graph Trend Filtering with Non-Convex Penalties"

11 / 11 papers shown
Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
782
0
0
14 May 2025
Federated Smoothing Proximal Gradient for Quantile Regression with
  Non-Convex Penalties
Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties
Reza Mirzaeifard
Diyako Ghaderyan
Stefan Werner
45
0
0
10 Aug 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
100
6
0
19 Dec 2023
Robust Graph Neural Networks via Unbiased Aggregation
Robust Graph Neural Networks via Unbiased Aggregation
Ruiqi Feng
Zhichao Hou
Hanyu Wang
Xiaorui Liu
68
0
0
25 Nov 2023
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex
  Penalties
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties
Reza Mirzaeifard
Naveen K. D. Venkategowda
Vinay Chakravarthi Gogineni
Stefan Werner
23
4
0
04 Sep 2023
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
81
72
0
16 Nov 2022
Elastic Graph Neural Networks
Elastic Graph Neural Networks
Xiaorui Liu
W. Jin
Yao Ma
Yaxin Li
Hua Liu
Yiqi Wang
Ming Yan
Jiliang Tang
142
109
0
05 Jul 2021
Clustered Federated Learning via Generalized Total Variation
  Minimization
Clustered Federated Learning via Generalized Total Variation Minimization
Yasmin SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
FedML
23
8
0
26 May 2021
Stochastic Proximal Gradient Algorithm with Minibatches. Application to
  Large Scale Learning Models
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models
A. Pătraşcu
C. Paduraru
Paul Irofti
41
0
0
30 Mar 2020
Stochastic proximal splitting algorithm for composite minimization
Stochastic proximal splitting algorithm for composite minimization
A. Pătraşcu
Paul Irofti
34
1
0
04 Dec 2019
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix
  Completion
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion
Kaiyi Ji
Jian Tan
Jinfeng Xu
Yuejie Chi
68
3
0
16 Feb 2018
1