| A Generalized Online Mirror Descent with Applications to Classification and Regression | Apr 10, 2013 | General Classificationregression | —Unverified | 0 | 0 |
| Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization | Apr 28, 2014 | Density EstimationDimensionality Reduction | —Unverified | 0 | 0 |
| Conditional Correlations and Principal Regression Analysis for Futures | Dec 27, 2019 | regression | —Unverified | 0 | 0 |
| A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent | Jun 9, 2020 | regression | —Unverified | 0 | 0 |
| Concurrent Segmentation and Localization for Tracking of Surgical Instruments | Mar 30, 2017 | Pose EstimationPosition | —Unverified | 0 | 0 |
| A Generalized Meta-loss function for regression and classification using privileged information | Nov 16, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks | Mar 22, 2024 | Active Learningregression | —Unverified | 0 | 0 |
| Concurrent Learning Based Adaptive Control of Euler Lagrange Systems with Guaranteed Parameter Convergence | Jun 12, 2022 | parameter estimationPosition | —Unverified | 0 | 0 |
| Concordance probability in a big data setting: application in non-life insurance | Nov 14, 2019 | regression | —Unverified | 0 | 0 |
| A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares | Nov 10, 2022 | regression | —Unverified | 0 | 0 |
| Concordance based Survival Cobra with regression type weak learners | Sep 24, 2022 | regressionVocal Bursts Type Prediction | —Unverified | 0 | 0 |
| A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression | Dec 25, 2017 | regression | —Unverified | 0 | 0 |
| A Generalized Kernel Approach to Structured Output Learning | May 10, 2012 | regression | —Unverified | 0 | 0 |
| A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning | Oct 19, 2020 | regression | —Unverified | 0 | 0 |
| Concentration inequalities under sub-Gaussian and sub-exponential conditions | Dec 1, 2021 | regression | —Unverified | 0 | 0 |
| Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features | Apr 1, 2021 | Dialect Identificationregression | —Unverified | 0 | 0 |
| Concentration inequalities for leave-one-out cross validation | Nov 4, 2022 | Density Estimationregression | —Unverified | 0 | 0 |
| Comunication-Efficient Algorithms for Statistical Optimization | Sep 19, 2012 | regression | —Unverified | 0 | 0 |
| A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression | Dec 1, 2019 | Federated Learningregression | —Unverified | 0 | 0 |
| A Generalized Framework for Predictive Clustering and Optimization | May 7, 2023 | Clusteringglobal-optimization | —Unverified | 0 | 0 |
| Active Learning for Regression by Inverse Distance Weighting | Apr 14, 2022 | Active LearningClassification | —Unverified | 0 | 0 |
| Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression | Dec 7, 2021 | regressionSymbolic Regression | —Unverified | 0 | 0 |
| Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model | Oct 28, 2018 | regression | —Unverified | 0 | 0 |
| Computing flood probabilities using Twitter: application to the Houston urban area during Harvey | Dec 7, 2020 | regression | —Unverified | 0 | 0 |
| Computing Approximate _p Sensitivities | Nov 7, 2023 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
