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Feature Selection

479 papers

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Papers

Practical Markov Boundary Learning without Strong Assumptions AAAI 2023
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023
LFTK: Handcrafted Features in Computational Linguistics ACL 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection AISTATS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023
Fast Feature Selection with Fairness Constraints AISTATS 2023
Finding Support Examples for In-Context Learning EMNLP 2023
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information EMNLP 2023
USTHB at ArAIEval’23 Shared Task: Disinformation Detection System based on Linguistic Feature Concatenation EMNLP 2023
Identifying Context-Dependent Translations for Evaluation Set Production EMNLP 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation ICML 2023
DRCFS: Doubly Robust Causal Feature Selection ICML 2023
Tilted Sparse Additive Models ICML 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023
Exploring the English Accent-independent Features for Speech Emotion Recognition using Filter and Wrapper-based Methods for Feature Selection INTERSPEECH 2023
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023
A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023
A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition JMLR 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
Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023