| Convex-constrained Sparse Additive Modeling and Its Extensions | May 1, 2017 | Additive modelsregression | —Unverified | 0 |
| A Greedy Search Tree Heuristic for Symbolic Regression | Jan 4, 2018 | regressionSymbolic Regression | —Unverified | 0 |
| Convex Fairness Constrained Model Using Causal Effect Estimators | Feb 16, 2020 | Binary ClassificationFairness | —Unverified | 0 |
| Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition | Aug 22, 2021 | Discrete Choice Modelsparameter estimation | —Unverified | 0 |
| Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators | Jun 3, 2020 | regression | —Unverified | 0 |
| Convex Relaxation of Mixture Regression with Efficient Algorithms | Dec 1, 2009 | Motion Segmentationregression | —Unverified | 0 |
| Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes | Feb 5, 2016 | regression | —Unverified | 0 |
| Convex Techniques for Model Selection | Nov 27, 2014 | modelModel Selection | —Unverified | 0 |
| ConvNets with Smooth Adaptive Activation Functions for Regression | Jan 1, 2017 | Age And Gender ClassificationPose Estimation | —Unverified | 0 |
| Convolutional aggregation of local evidence for large pose face alignment | Sep 21, 2016 | Face AlignmentFace Detection | —Unverified | 0 |
| A Sparse Gaussian Process Framework for Photometric Redshift Estimation | May 20, 2015 | Gaussian ProcessesPhotometric Redshift Estimation | —Unverified | 0 |
| Convolutional networks and learning invariant to homogeneous multiplicative scalings | Jun 26, 2015 | ClassificationGeneral Classification | —Unverified | 0 |
| Convolutional neural network-based regression for depth prediction in digital holography | Feb 2, 2018 | Depth EstimationDepth Prediction | —Unverified | 0 |
| A Deep Learning Model for Structured Outputs with High-order Interaction | Apr 29, 2015 | ClassificationGeneral Classification | —Unverified | 0 |
| Data Aggregation for Reducing Training Data in Symbolic Regression | Aug 24, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Bayesian regression explains how human participants handle parameter uncertainty | Mar 19, 2019 | regression | —Unverified | 0 |
| Convolutional Regression for Visual Tracking | Nov 14, 2016 | Object Trackingregression | —Unverified | 0 |
| Convolution Mode Regression | Dec 7, 2024 | quantile regressionregression | —Unverified | 0 |
| Cooperative Thresholded Lasso for Sparse Linear Bandit | May 30, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Coordinate Descent with Online Adaptation of Coordinate Frequencies | Jan 15, 2014 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Coordinate Methods for Matrix Games | Sep 17, 2020 | regression | —Unverified | 0 |
| CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression | Apr 14, 2023 | Image-Based LocalizationPose Estimation | —Unverified | 0 |
| Copula-based conformal prediction for Multi-Target Regression | Jan 28, 2021 | Conformal PredictionMulti-target regression | —Unverified | 0 |
| Boosting with copula-based components | Aug 9, 2022 | Additive modelsModel Selection | —Unverified | 0 |
| Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics | Jan 6, 2022 | Decision Makingregression | —Unverified | 0 |