Feature Selection

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017 Selective Inference for Sparse High-Order Interaction Models ICML 2017 Semi-supervised Feature Selection via Rescaled Linear Regression IJCAI 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 Variable Importance Using Decision Trees NeurIPS 2017 Are Cohesive Features Relevant for Text Readability Evaluation? COLING 2016 Bayesian Markov Blanket Estimation AISTATS 2016 Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection Interspeech 2016 Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NeurIPS 2016 Estimating Mutual Information in Under-Reported Variables PGM 2016 Feature selection in functional data classification with recursive maxima hunting NeurIPS 2016 Finding significant combinations of features in the presence of categorical covariates NeurIPS 2016 Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration JMLR 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Greedy Feature Construction NeurIPS 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 Learning Feature Aware Metric ACML 2016 Model-free Variable Selection in Reproducing Kernel Hilbert Space JMLR 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 No penalty no tears: Least squares in high-dimensional linear models ICML 2016 On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016 On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016 On the Consistency of Feature Selection With Lasso for Non-linear Targets ICML 2016 Simple and Efficient Weighted Minwise Hashing NeurIPS 2016