| Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems | Jan 27, 2025 | regression | —Unverified | 0 | 0 |
| Optimizing Estimators of Squared Calibration Errors in Classification | Oct 9, 2024 | ClassificationDecision Making | —Unverified | 0 | 0 |
| Optimizing Financial Data Analysis: A Comparative Study of Preprocessing Techniques for Regression Modeling of Apple Inc.'s Net Income and Stock Prices | Jan 11, 2025 | regression | —Unverified | 0 | 0 |
| Optimizing Fintech Marketing: A Comparative Study of Logistic Regression and XGBoost | Dec 20, 2024 | ImputationMarketing | —Unverified | 0 | 0 |
| Optimizing for Generalization in Machine Learning with Cross-Validation Gradients | May 1, 2019 | BIG-bench Machine LearningHyperparameter Optimization | —Unverified | 0 | 0 |
| Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression | May 15, 2019 | Magnetic Resonance FingerprintingQuantization | —Unverified | 0 | 0 |
| Optimizing Offensive Gameplan in the National Basketball Association with Machine Learning | Aug 13, 2023 | regression | —Unverified | 0 | 0 |
| Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models | Feb 21, 2025 | DecoderLanguage Modeling | —Unverified | 0 | 0 |
| Optimizing Shortfall Risk Metric for Learning Regression Models | May 23, 2025 | regression | —Unverified | 0 | 0 |
| Optimizing the location of vaccination sites to stop a zoonotic epidemic | May 25, 2021 | regression | —Unverified | 0 | 0 |
| Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization | Mar 31, 2020 | Electrical Engineeringregression | —Unverified | 0 | 0 |
| Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction | Mar 23, 2018 | Objectobject-detection | —Unverified | 0 | 0 |
| Optimum Statistical Estimation with Strategic Data Sources | Aug 11, 2014 | regression | —Unverified | 0 | 0 |
| Ordinal Distribution Regression for Gait-based Age Estimation | May 27, 2019 | Age Estimationregression | —Unverified | 0 | 0 |
| Ordinal Regression as Structured Classification | May 31, 2019 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Ordinal Regression for Difficulty Estimation of StepMania Levels | Jan 23, 2023 | regressionRhythm | —Unverified | 0 | 0 |
| Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation | Nov 8, 2018 | General Classificationregression | —Unverified | 0 | 0 |
| Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives | Jul 6, 2022 | regression | —Unverified | 0 | 0 |
| Ordinal Regression with Fenton-Wilkinson Order Statistics: A Case Study of an Orienteering Race | Jul 14, 2020 | regression | —Unverified | 0 | 0 |
| Ordinal Regression With Multiple Output CNN for Age Estimation | Jun 1, 2016 | Age EstimationBinary Classification | —Unverified | 0 | 0 |
| Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices | Apr 20, 2022 | Binary Classificationregression | —Unverified | 0 | 0 |
| ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction | Mar 13, 2022 | Predictionregression | —Unverified | 0 | 0 |
| Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey | Feb 21, 2023 | Objectobject-detection | —Unverified | 0 | 0 |
| Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence | Dec 28, 2017 | Causal InferenceModel Selection | —Unverified | 0 | 0 |
| Orthogonal Matching Pursuit with Noisy and Missing Data: Low and High Dimensional Results | Jun 5, 2012 | regression | —Unverified | 0 | 0 |
| Orthogonal Structure Search for Efficient Causal Discovery from Observational Data | Mar 6, 2019 | Causal Discoveryregression | —Unverified | 0 | 0 |
| OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection | Jan 1, 2022 | Objectobject-detection | —Unverified | 0 | 0 |
| Outlier detection in regression: conic quadratic formulations | Jul 12, 2023 | Outlier Detectionregression | —Unverified | 0 | 0 |
| Outlier Robust and Sparse Estimation of Linear Regression Coefficients | Aug 24, 2022 | regression | —Unverified | 0 | 0 |
| Outlier-robust Estimation of a Sparse Linear Model Using Invexity | Jun 22, 2023 | regression | —Unverified | 0 | 0 |
| Outlier Robust Extreme Learning Machine for Multi-Target Regression | May 22, 2019 | Multi-target regressionregression | —Unverified | 0 | 0 |
| Outlier Robust Multivariate Polynomial Regression | Mar 14, 2024 | regression | —Unverified | 0 | 0 |
| Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression | Jul 18, 2024 | ClusteringOut-of-Distribution Detection | —Unverified | 0 | 0 |
| Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction | Nov 27, 2023 | Graph AttentionGraph Neural Network | —Unverified | 0 | 0 |
| Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift | Dec 29, 2023 | Out-of-Distribution Generalizationregression | —Unverified | 0 | 0 |
| Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples | Jul 17, 2019 | Active LearningExperimental Design | —Unverified | 0 | 0 |
| Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership | Jun 1, 2019 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 | 0 |
| Overcoming the Spectral Bias of Neural Value Approximation | Jun 9, 2022 | continuous-controlContinuous Control | —Unverified | 0 | 0 |
| Overcomplete Frame Thresholding for Acoustic Scene Analysis | Dec 25, 2017 | Action DetectionActivity Detection | —Unverified | 0 | 0 |
| Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality | Sep 5, 2024 | regression | —Unverified | 0 | 0 |
| Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate | Jun 13, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Overlapping Cover Local Regression Machines | Jan 5, 2017 | Gaussian ProcessesGPR | —Unverified | 0 | 0 |
| Overlapping Mixtures of Gaussian Processes for the Data Association Problem | Aug 16, 2011 | Gaussian ProcessesMulti-Object Tracking | —Unverified | 0 | 0 |
| Overlapping Sliced Inverse Regression for Dimension Reduction | Jun 23, 2018 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Overparameterized Linear Regression under Adversarial Attacks | Apr 13, 2022 | regression | —Unverified | 0 | 0 |
| Overparameterized Multiple Linear Regression as Hyper-Curve Fitting | Apr 11, 2024 | regression | —Unverified | 0 | 0 |
| Overparameterized random feature regression with nearly orthogonal data | Nov 11, 2022 | regression | —Unverified | 0 | 0 |
| A semi-supervised learning using over-parameterized regression | Sep 6, 2024 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression | Jul 13, 2021 | regression | —Unverified | 0 | 0 |
| Over-the-Air Gaussian Process Regression Based on Product of Experts | Oct 5, 2022 | GPRregression | —Unverified | 0 | 0 |