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Sparse Overlapping Sets Lasso for Multitask Learning and its Application
  to fMRI Analysis
v1v2 (latest)

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis

Neural Information Processing Systems (NeurIPS), 2013
20 November 2013
Nikhil S. Rao
Christopher R. Cox
Robert D. Nowak
Timothy T. Rogers
ArXiv (abs)PDFHTML

Papers citing "Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis"

15 / 15 papers shown
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
Camila Gonzalez
Yanis Miraoui
Yiran Fan
Ehsan Adeli
K. Pohl
189
0
0
24 Sep 2024
Selective Inference for Sparse Multitask Regression with Applications in
  Neuroimaging
Selective Inference for Sparse Multitask Regression with Applications in NeuroimagingAnnals of Applied Statistics (AOAS), 2022
Snigdha Panigrahi
Natasha Stewart
Chandra S. Sripada
Elizaveta Levina
337
2
0
27 May 2022
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
Cuize Han
Nikhil S. Rao
Daria Sorokina
Karthik Subbian
240
3
0
05 Sep 2021
Robust and flexible learning of a high-dimensional classification rule
  using auxiliary outcomes
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes
Muxuan Liang
Jaeyoung Park
Qing Lu
Xiang Zhong
361
0
0
11 Nov 2020
Robust Multi-class Feature Selection via $l_{2,0}$-Norm Regularization
  Minimization
Robust Multi-class Feature Selection via l2,0l_{2,0}l2,0​-Norm Regularization Minimization
Zhenzhen Sun
Yuanlong Yu
241
9
0
08 Oct 2020
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An
  Dual-Task Split dynamics of inverse scale space
Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space
Xinwei Sun
Wenjing Han
Lingjing Hu
Xingtai Lv
Yizhou Wang
191
0
0
17 Jul 2020
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and
  Statistical Inference
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
T. Tony Cai
Anru R. Zhang
Yuchen Zhou
190
31
0
21 Sep 2019
Domain Independent SVM for Transfer Learning in Brain Decoding
Domain Independent SVM for Transfer Learning in Brain Decoding
Shuo Zhou
Wenwen Li
Christopher R. Cox
Haiping Lu
138
2
0
26 Mar 2019
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
Wenwen Li
Jian Lou
Shuo Zhou
Haiping Lu
258
5
0
04 Dec 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
1.1K
2,848
0
25 Jul 2017
Learning task structure via sparsity grouped multitask learning
Learning task structure via sparsity grouped multitask learning
Meghana Kshirsagar
Eunho Yang
A. Lozano
212
3
0
13 May 2017
Structured Sparse Regression via Greedy Hard-Thresholding
Structured Sparse Regression via Greedy Hard-Thresholding
Prateek Jain
Nikhil S. Rao
Inderjit Dhillon
346
43
0
19 Feb 2016
Stable Feature Selection from Brain sMRI
Stable Feature Selection from Brain sMRIAAAI Conference on Artificial Intelligence (AAAI), 2015
Bo Xin
Lingjing Hu
Yizhou Wang
Wen Gao
212
22
0
25 Mar 2015
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
Forward - Backward Greedy Algorithms for Atomic Norm RegularizationIEEE Transactions on Signal Processing (IEEE TSP), 2014
Nikhil S. Rao
P. Shah
Stephen J. Wright
355
93
0
23 Apr 2014
Classification with Sparse Overlapping Groups
Classification with Sparse Overlapping Groups
Nikhil S. Rao
Robert D. Nowak
Christopher R. Cox
Timothy T. Rogers
422
7
0
18 Feb 2014
1
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