Co-occurring keywords · papers mentioning both
Papers
Bayesian Variable Selection in a Million Dimensions
AISTATS 2023
Better Private Linear Regression Through Better Private Feature Selection
NeurIPS 2023
Cluster Explanation via Polyhedral Descriptions
ICML 2023
Clustering High-dimensional Data with Ordered Weighted ℓ_1 Regularization
AISTATS 2023
Conformalization of Sparse Generalized Linear Models
ICML 2023
Contextual Reliability: When Different Features Matter in Different Contexts
ICML 2023
Coordinate Descent for SLOPE
AISTATS 2023
Data Minimization at Inference Time
NeurIPS 2023
DiFA: Differentiable Feature Acquisition
AAAI 2023
Difference of submodular minimization via DC programming
ICML 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems
AAAI 2023
Efficient Learning of Minimax Risk Classifiers in High Dimensions
UAI 2023
Efficient Top-K Feature Selection Using Coordinate Descent Method
AAAI 2023
Exploring the English Accent-independent Features for Speech Emotion Recognition using Filter and Wrapper-based Methods for Feature Selection
Interspeech 2023
False Discovery Proportion control for aggregated Knockoffs
NeurIPS 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations
AISTATS 2023
Fast Feature Selection with Fairness Constraints
AISTATS 2023
Feasible Recourse Plan via Diverse Interpolation
AISTATS 2023
Feature selection and low test error in shallow low-rotation ReLU networks
ICLR 2023
Feature Selection in the Contrastive Analysis Setting
NeurIPS 2023
Few-Sample Feature Selection via Feature Manifold Learning
ICML 2023
Finding Groups of Cross-Correlated Features in Bi-View Data
JMLR 2023
Finding the Pillars of Strength for Multi-Head Attention
ACL 2023
GEASS: Neural causal feature selection for high-dimensional biological data
ICLR 2023