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Feature Selection

462 directly classified papers

Papers per year

Papers

Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
Practical Markov Boundary Learning without Strong Assumptions AAAI 2023
Exploring the English Accent-independent Features for Speech Emotion Recognition using Filter and Wrapper-based Methods for Feature Selection INTERSPEECH 2023
Tilted Sparse Additive Models ICML 2023
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection AISTATS 2023
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data AAAI 2023
Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023
LFTK: Handcrafted Features in Computational Linguistics ACL 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition JMLR 2023
Identifying Context-Dependent Translations for Evaluation Set Production EMNLP 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization JMLR 2023
Sparse Markov Models for High-dimensional Inference JMLR 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
DiFA: Differentiable Feature Acquisition AAAI 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023
Data Minimization at Inference Time NIPS 2023
Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023
Stepdown SLOPE for Controlled Feature Selection AAAI 2023
The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022