| A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis | Jun 1, 2016 | Medical Image Analysisregression | —Unverified | 0 | 0 |
| Causal Inference Tools for a Better Evaluation of Machine Learning | Oct 2, 2024 | Causal InferenceEconometrics | —Unverified | 0 | 0 |
| A Non-linear Function-on-Function Model for Regression with Time Series Data | Nov 24, 2020 | regressionTime Series | —Unverified | 0 | 0 |
| Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression | Feb 5, 2021 | regression | —Unverified | 0 | 0 |
| A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data | Dec 19, 2016 | regression | —Unverified | 0 | 0 |
| Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization | Sep 10, 2013 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation | Jun 8, 2018 | Automated Pancreas SegmentationOrgan Segmentation | —Unverified | 0 | 0 |
| Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties | Aug 2, 2024 | quantile regressionregression | —Unverified | 0 | 0 |
| Estimation and Inference on Nonlinear and Heterogeneous Effects | Mar 16, 2017 | BIG-bench Machine LearningCausal Inference | —Unverified | 0 | 0 |
| Causal inference in network experiments: regression-based analysis and design-based properties | Sep 14, 2023 | Causal Inferenceregression | —Unverified | 0 | 0 |
| Causal Inference in Geosciences with Kernel Sensitivity Maps | Dec 7, 2020 | Causal Inferenceregression | —Unverified | 0 | 0 |
| Causal Inference in Geoscience and Remote Sensing from Observational Data | Dec 7, 2020 | Causal Inferenceregression | —Unverified | 0 | 0 |
| A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data | Feb 11, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Adversarial Surrogate Losses for Ordinal Regression | Dec 1, 2017 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis | May 28, 2025 | Causal InferenceExperimental Design | —Unverified | 0 | 0 |
| Identifying causal effects with subjective ordinal outcomes | Dec 30, 2022 | Causal IdentificationCausal Inference | —Unverified | 0 | 0 |
| Non-asymptotic model selection in block-diagonal mixture of polynomial experts models | Apr 18, 2021 | Mixture-of-ExpertsModel Selection | —Unverified | 0 | 0 |
| Causal Gradient Boosting: Boosted Instrumental Variable Regression | Jan 15, 2021 | regression | —Unverified | 0 | 0 |
| Causal Feature Selection via Transfer Entropy | Oct 17, 2023 | Causal Discoveryfeature selection | —Unverified | 0 | 0 |
| A non-asymptotic distributional theory of approximate message passing for sparse and robust regression | Jan 8, 2024 | regression | —Unverified | 0 | 0 |
| A convex optimization formulation for multivariate regression | Dec 1, 2020 | Multi-Task Learningregression | —Unverified | 0 | 0 |
| Gaming Helps! Learning from Strategic Interactions in Natural Dynamics | Feb 17, 2020 | Causal Discoveryregression | —Unverified | 0 | 0 |
| Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data | Oct 16, 2023 | counterfactualEpidemiology | —Unverified | 0 | 0 |
| A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed | Sep 25, 2019 | Computational Efficiencyregression | —Unverified | 0 | 0 |
| Causal Discovery with Continuous Additive Noise Models | Sep 26, 2013 | Causal Discoveryregression | —Unverified | 0 | 0 |
| Causal Discovery from Sparse Time-Series Data Using Echo State Network | Jan 9, 2022 | Causal Discoveryregression | —Unverified | 0 | 0 |
| Anomaly Detection by Robust Statistics | Jul 31, 2017 | Anomaly DetectionClustering | —Unverified | 0 | 0 |
| Adversarial robust weighted Huber regression | Feb 22, 2021 | regression | —Unverified | 0 | 0 |
| Causal Contrastive Learning for Counterfactual Regression Over Time | Jun 1, 2024 | Causal InferenceContrastive Learning | —Unverified | 0 | 0 |
| Causal Analysis and Prediction of Human Mobility in the U.S. during the COVID-19 Pandemic | Nov 24, 2021 | regressionTime Series Analysis | —Unverified | 0 | 0 |
| A Bayesian Lasso based Sparse Learning Model | Aug 20, 2019 | Compressive Sensingmodel | —Unverified | 0 | 0 |
| Causal Additive Models with Unobserved Causal Paths and Backdoor Paths | Feb 11, 2025 | Additive modelsCausal Discovery | —Unverified | 0 | 0 |
| A Noise-Aware Memory-Attention Network Architecture for Regression-Based Speech Enhancement | Oct 25, 2020 | regressionSpeech Enhancement | —Unverified | 0 | 0 |
| Adversarial Robustness of Streaming Algorithms through Importance Sampling | Jun 28, 2021 | Adversarial RobustnessClustering | —Unverified | 0 | 0 |
| Accelerated Gradient Flow: Risk, Stability, and Implicit Regularization | Jan 20, 2022 | regression | —Unverified | 0 | 0 |
| Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise | Feb 14, 2023 | regression | —Unverified | 0 | 0 |
| CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression | Oct 25, 2023 | Causal Inferenceregression | —Unverified | 0 | 0 |
| An Note on Why Geographically Weighted Regression Overcomes Multidimensional-Kernel-Based Varying-Coefficient Model | Apr 12, 2018 | regression | —Unverified | 0 | 0 |
| Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal | Jul 3, 2024 | object-detectionObject Detection | —Unverified | 0 | 0 |
| ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process | Mar 24, 2024 | Model Predictive Controlregression | —Unverified | 0 | 0 |
| Adversarial Robustness of In-Context Learning in Transformers for Linear Regression | Nov 7, 2024 | Adversarial RobustnessIn-Context Learning | —Unverified | 0 | 0 |
| Cascades of Regression Tree Fields for Image Restoration | Apr 8, 2014 | Blind Image DeblurringDeblurring | —Unverified | 0 | 0 |
| Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination | Jun 18, 2020 | regressionVisual Tracking | —Unverified | 0 | 0 |
| An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression | Jan 20, 2023 | GPRregression | —Unverified | 0 | 0 |
| Cascaded Hand Pose Regression | Jun 1, 2015 | 3D Hand Pose EstimationHand Pose Estimation | —Unverified | 0 | 0 |
| Cascaded Face Alignment via Intimacy Definition Feature | Nov 21, 2016 | Face Alignmentregression | —Unverified | 0 | 0 |
| Multi-Kernel Regression with Sparsity Constraint | Nov 2, 2018 | regression | —Unverified | 0 | 0 |
| A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates | Dec 25, 2013 | regression | —Unverified | 0 | 0 |
| Cascaded Continuous Regression for Real-time Incremental Face Tracking | Aug 3, 2016 | Face AlignmentIncremental Learning | —Unverified | 0 | 0 |
| Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis | May 8, 2019 | regressionvalid | —Unverified | 0 | 0 |