| A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees | Jul 20, 2013 | Model Selectionregression | —Unverified | 0 |
| An Optimal House Price Prediction Algorithm: XGBoost | Feb 6, 2024 | Predictionregression | —Unverified | 0 |
| A non-parametric conditional factor regression model for high-dimensional input and response | Jul 2, 2013 | Dimensionality Reductionregression | —Unverified | 0 |
| Adversarial Transfer of Pose Estimation Regression | Jun 20, 2020 | Camera Pose EstimationDomain Adaptation | —Unverified | 0 |
| Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization | Sep 10, 2013 | BIG-bench Machine Learningregression | —Unverified | 0 |
| An O(n(n)) Algorithm for Projecting Onto the Ordered Weighted _1 Norm Ball | May 5, 2015 | Clusteringregression | —Unverified | 0 |
| An Online Learning Algorithm for Neuromorphic Hardware Implementation | May 11, 2015 | regression | —Unverified | 0 |
| Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study | Jun 21, 2023 | regression | —Unverified | 0 |
| A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis | Jun 1, 2016 | Medical Image Analysisregression | —Unverified | 0 |
| A Non-linear Function-on-Function Model for Regression with Time Series Data | Nov 24, 2020 | regressionTime Series | —Unverified | 0 |
| Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression | Feb 5, 2021 | regression | —Unverified | 0 |
| A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data | Dec 19, 2016 | regression | —Unverified | 0 |
| 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation | Jun 8, 2018 | Automated Pancreas SegmentationOrgan Segmentation | —Unverified | 0 |
| Bayesian Robustness: A Nonasymptotic Viewpoint | Jul 27, 2019 | Binary Classificationregression | —Unverified | 0 |
| Adversarial Surrogate Losses for Ordinal Regression | Dec 1, 2017 | Binary ClassificationGeneral Classification | —Unverified | 0 |
| A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data | Feb 11, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| 3D Facial Expression Reconstruction using Cascaded Regression | Dec 10, 2017 | regression | —Unverified | 0 |
| Non-asymptotic model selection in block-diagonal mixture of polynomial experts models | Apr 18, 2021 | Mixture-of-ExpertsModel Selection | —Unverified | 0 |
| A non-asymptotic distributional theory of approximate message passing for sparse and robust regression | Jan 8, 2024 | regression | —Unverified | 0 |
| A convex optimization formulation for multivariate regression | Dec 1, 2020 | Multi-Task Learningregression | —Unverified | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 |
| A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed | Sep 25, 2019 | Computational Efficiencyregression | —Unverified | 0 |
| Anomaly Detection by Robust Statistics | Jul 31, 2017 | Anomaly DetectionClustering | —Unverified | 0 |
| Adversarial robust weighted Huber regression | Feb 22, 2021 | regression | —Unverified | 0 |
| A Bayesian Lasso based Sparse Learning Model | Aug 20, 2019 | Compressive Sensingmodel | —Unverified | 0 |