| 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 |