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← Core Methods
Machine Learning
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Core Methods
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Feature Selection
462 directly classified papers
Papers per year
2001: 1
2003: 11
2004: 4
2005: 1
2006: 6
2007: 13
2008: 8
2009: 11
2010: 17
2011: 14
2012: 18
2013: 26
2014: 20
2015: 14
2016: 23
2017: 27
2018: 24
2019: 28
2020: 35
2021: 29
2022: 34
2023: 36
2024: 32
2025: 26
2026: 4
Papers
Sparse Representation Classification With Manifold Constraints Transfer
CVPR 2015
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
CVPR 2015
Is Feature Selection Secure against Training Data Poisoning?
ICML 2015
Structured Feature Selection
ICCV 2015
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
NIPS 2015
Largest Source Subset Selection for Instance Transfer
ACML 2015
On the consistency theory of high dimensional variable screening
NIPS 2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
ACML 2015
Discrete Rényi Classifiers
NIPS 2015
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
NIPS 2015
Dealing with small data: On the generalization of context trees
ICML 2015
A Nearly-Linear Time Framework for Graph-Structured Sparsity
ICML 2015
A Safe Screening Rule for Sparse Logistic Regression
NIPS 2014
Elementary Estimators for Graphical Models
NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
NIPS 2014
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
NIPS 2014
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm
NIPS 2014
Metric Learning for Temporal Sequence Alignment
NIPS 2014
Information-Theoretic Characterization of Sparse Recovery
AISTATS 2014
Towards Ultrahigh Dimensional Feature Selection for Big Data
JMLR 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
ICML 2014
Safe Screening with Variational Inequalities and Its Application to Lasso
ICML 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
ICML 2014
Sparse meta-Gaussian information bottleneck
ICML 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis
CVPR 2014
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