← Learning Types
Machine Learning › Learning Types ›

Feature Selection

36 directly classified papers

Papers per year

Papers

VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food Hazards ACL 2025
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024
Optimal Sparse Recovery with Decision Stumps AAAI 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model AAAI 2022
Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021
Augmenting Neural Metaphor Detection with Concreteness ACL 2020
Feature Importance Ranking for Deep Learning NIPS 2020
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019
Semi-Analytic Resampling in Lasso JMLR 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NIPS 2019
DeepPINK: reproducible feature selection in deep neural networks NIPS 2018
A Unified Approach to Interpreting Model Predictions NIPS 2017
Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection EACL 2017
Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection INTERSPEECH 2016
Greedy Feature Construction NIPS 2016
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NIPS 2016
Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016
Discrete Rényi Classifiers NIPS 2015
Subset Selection by Pareto Optimization NIPS 2015
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NIPS 2015
Understanding variable importances in forests of randomized trees NIPS 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NIPS 2013