| Efficient AUC Optimization for Information Ranking Applications | Nov 16, 2015 | Information Retrievalregression | —Unverified | 0 | 0 |
| Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation | Nov 5, 2016 | Face Alignmentregression | —Unverified | 0 | 0 |
| Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression | Nov 14, 2022 | Multi-Armed Banditsregression | —Unverified | 0 | 0 |
| Efficient Contextual Bandits with Uninformed Feedback Graphs | Feb 12, 2024 | Multi-Armed Banditsregression | —Unverified | 0 | 0 |
| Efficient coordinate-wise leading eigenvector computation | Feb 25, 2017 | regression | —Unverified | 0 | 0 |
| Covariate Adjustment in Stratified Experiments | Feb 7, 2023 | regression | —Unverified | 0 | 0 |
| Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm | Oct 11, 2017 | BIG-bench Machine LearningComputational Efficiency | —Unverified | 0 | 0 |
| Efficient Distributed Learning with Sparsity | May 25, 2016 | General Classificationregression | —Unverified | 0 | 0 |
| Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression | Sep 23, 2016 | Astronomyfeature selection | —Unverified | 0 | 0 |
| Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination | Jul 5, 2021 | Decision MakingMulti-Armed Bandits | —Unverified | 0 | 0 |
| Efficient Gaussian Neural Processes for Regression | Aug 22, 2021 | Decision MakingMeta-Learning | —Unverified | 0 | 0 |
| Efficient hinging hyperplanes neural network and its application in nonlinear system identification | May 15, 2019 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient Image Set Classification using Linear Regression based Image Reconstruction | Jan 10, 2017 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Efficient improper learning for online logistic regression | Mar 18, 2020 | regression | —Unverified | 0 | 0 |
| Efficient kernel surrogates for neural network-based regression | Oct 28, 2023 | regression | —Unverified | 0 | 0 |
| Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression | Dec 1, 2011 | regression | —Unverified | 0 | 0 |
| Efficient Least Squares Monte-Carlo Technique for PFE/EE Calculations | May 14, 2021 | regression | —Unverified | 0 | 0 |
| Efficient Line Search Method Based on Regression and Uncertainty Quantification | May 17, 2024 | Bayesian Optimizationregression | —Unverified | 0 | 0 |
| Efficient List-Decodable Regression using Batches | Nov 23, 2022 | regression | —Unverified | 0 | 0 |
| Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data | Feb 5, 2022 | Privacy Preservingregression | —Unverified | 0 | 0 |
| Detecting Multiple Structural Breaks in Systems of Linear Regression Equations with Integrated and Stationary Regressors | Jan 14, 2022 | regression | —Unverified | 0 | 0 |
| Efficiently Using Second Order Information in Large l1 Regularization Problems | Mar 27, 2013 | regression | —Unverified | 0 | 0 |
| Efficient Methods for Online Multiclass Logistic Regression | Oct 6, 2021 | regression | —Unverified | 0 | 0 |
| Efficient Minimax Optimal Estimators For Multivariate Convex Regression | May 6, 2022 | regression | —Unverified | 0 | 0 |
| Efficient Multiple Incremental Computation for Kernel Ridge Regression with Bayesian Uncertainty Modeling | Aug 1, 2016 | regression | —Unverified | 0 | 0 |