feature selection

Scalable Greedy Feature Selection via Weak Submodularity AISTATS 2017 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 Sparse Approximate Conic Hulls NeurIPS 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 UWAV at SemEval-2017 Task 7: Automated feature-based system for locating puns SemEval 2017 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016 An Adaptive Multi-Band System for Low Power Voice Command Recognition Interspeech 2016 An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension JMLR 2016 A Robust-Equitable Copula Dependence Measure for Feature Selection AISTATS 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection Interspeech 2016 Distributed Multi-Task Learning AISTATS 2016 Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NeurIPS 2016 Fast and Flexible Monotonic Functions with Ensembles of Lattices NeurIPS 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 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 GAP Safe Screening Rules for Sparse-Group Lasso NeurIPS 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 Learning Feature Aware Metric ACML 2016 mlr: Machine Learning in R JMLR 2016