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Feature Selection

479 papers

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Papers

Post-selection inference with HSIC-Lasso ICML 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
SPECTRE: defending against backdoor attacks using robust statistics ICML 2021
Finding Relevant Information via a Discrete Fourier Expansion ICML 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity ICML 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021
An Exemplar Selection Algorithm for Native-Nonnative Voice Conversion INTERSPEECH 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data JMLR 2021
An Importance Weighted Feature Selection Stability Measure JMLR 2021
LassoNet: A Neural Network with Feature Sparsity JMLR 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021
Hierarchical Information Criterion for Variable Abstraction MLHC 2021
Deep Direct Likelihood Knockoffs NIPS 2020
Feature Importance Ranking for Deep Learning NIPS 2020
Towards a Combinatorial Characterization of Bounded-Memory Learning NIPS 2020
Simple and Scalable Sparse k-means Clustering via Feature Ranking NIPS 2020
Instance-wise Feature Grouping NIPS 2020
Learning Feature Sparse Principal Subspace NIPS 2020
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020