| Ising Model Selection Using _1-Regularized Linear Regression: A Statistical Mechanics Analysis | Feb 8, 2021 | Model Selectionregression | —Unverified | 0 |
| ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching | Nov 9, 2019 | Distributed Computingregression | —Unverified | 0 |
| Is Ordered Weighted _1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR | Sep 24, 2018 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Isotonic propensity score matching | Jul 18, 2022 | regression | —Unverified | 0 |
| Isotonic Recalibration under a Low Signal-to-Noise Ratio | Jan 6, 2023 | regression | —Unverified | 0 |
| Isotonic regression with unknown permutations: Statistics, computation, and adaptation | Sep 5, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| ISR: Invertible Symbolic Regression | May 10, 2024 | Density Estimationregression | —Unverified | 0 |
| Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? | Sep 14, 2023 | Deep LearningGraph Learning | —Unverified | 0 |
| Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression | Nov 15, 2022 | regressionSymbolic Regression | —Unverified | 0 |
| ISTRBoost: Importance Sampling Transfer Regression using Boosting | Apr 26, 2022 | Domain Adaptationregression | —Unverified | 0 |
| Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond | Jul 19, 2022 | Federated LearningPhilosophy | —Unverified | 0 |
| Iterate averaging as regularization for stochastic gradient descent | Feb 22, 2018 | regression | —Unverified | 0 |
| Iterative Bayesian Learning for Crowdsourced Regression | Feb 28, 2017 | regression | —Unverified | 0 |
| Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation | Mar 14, 2024 | Decision Makingregression | —Unverified | 0 |
| Iterative Least Trimmed Squares for Mixed Linear Regression | Feb 10, 2019 | regression | —Unverified | 0 |
| Kernel based regression with robust loss function via iteratively reweighted least squares | Mar 27, 2019 | regression | —Unverified | 0 |
| Iterative Refinement for _p-norm Regression | Jan 21, 2019 | regression | —Unverified | 0 |
| Iterative Sketching for Secure Coded Regression | Aug 8, 2023 | Distributed ComputingEpidemiology | —Unverified | 0 |
| ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing | Aug 1, 2017 | Feature Engineeringregression | —Unverified | 0 |
| IV Estimation of Panel Data Tobit Models with Normal Errors | Jan 9, 2024 | regression | —Unverified | 0 |
| Feasible IV Regression without Excluded Instruments | Mar 17, 2021 | regression | —Unverified | 0 |
| JANOS: An Integrated Predictive and Prescriptive Modeling Framework | Nov 21, 2019 | regression | —Unverified | 0 |
| Japanese Lexical Simplification for Non-Native Speakers | Dec 1, 2016 | Embeddings EvaluationLanguage Modeling | —Unverified | 0 |
| Joint Dimensionality Reduction for Separable Embedding Estimation | Jan 14, 2021 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| Double logistic regression approach to biased positive-unlabeled data | Sep 16, 2022 | regression | —Unverified | 0 |
| Joint estimation of sparse multivariate regression and conditional graphical models | Jun 19, 2013 | regression | —Unverified | 0 |
| Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion | Jan 26, 2021 | Future predictionPanoptic Segmentation | —Unverified | 0 |
| Joint Gaussian Processes for Biophysical Parameter Retrieval | Nov 14, 2017 | Gaussian Processesregression | —Unverified | 0 |
| Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces | Sep 14, 2016 | Age EstimationGender Classification | —Unverified | 0 |
| A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers | Sep 19, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms | Jun 25, 2023 | Diversityregression | —Unverified | 0 |
| Jointly learning relevant subgraph patterns and nonlinear models of their indicators | Jul 9, 2018 | Computational chemistryregression | —Unverified | 0 |
| Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data | Dec 19, 2024 | regression | —Unverified | 0 |
| Joint Optimization of Piecewise Linear Ensembles | May 1, 2024 | feature selectionPrediction | —Unverified | 0 |
| Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan | May 7, 2020 | ClassificationComputed Tomography (CT) | —Unverified | 0 |
| Joint Prediction of Remaining Useful Life and Failure Type of Train Wheelsets: A Multi-task Learning Approach | Jan 10, 2021 | feature selectionMulti-Task Learning | —Unverified | 0 |
| Joint quantile regression in vector-valued RKHSs | Dec 1, 2016 | Multi-Task Learningquantile regression | —Unverified | 0 |
| Joint Regression and Ranking for Image Enhancement | Apr 5, 2017 | Image Enhancementregression | —Unverified | 0 |
| Joint segmentation of multivariate time series with hidden process regression for human activity recognition | Dec 25, 2013 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 |
| Joint State and Parameter Estimation Using the Partial Errors-in-Variables Principle | Jul 1, 2024 | parameter estimationregression | —Unverified | 0 |
| Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization | Jan 28, 2018 | 3D Facial Landmark LocalizationDepth Estimation | —Unverified | 0 |
| JSRT: James-Stein Regression Tree | Oct 18, 2020 | Predictionregression | —Unverified | 0 |
| JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks | Jun 1, 2019 | regression | —Unverified | 0 |
| Jump Interval-Learning for Individualized Decision Making | Nov 17, 2021 | Decision Makingregression | —Unverified | 0 |
| Just Interpolate: Kernel "Ridgeless" Regression Can Generalize | Aug 1, 2018 | regression | —Unverified | 0 |
| Kalman-based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning | Dec 3, 2015 | regression | —Unverified | 0 |
| KaMiKla at SemEval-2022 Task 3: AlBERTo, BERT, and CamemBERT—Be(r)tween Taxonomy Detection and Prediction | Jul 1, 2022 | Binary Classificationregression | —Unverified | 0 |
| katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English | Aug 1, 2021 | Lexical Complexity Predictionregression | —Unverified | 0 |
| Keep soft robots soft -- a data-driven based trade-off between feed-forward and feedback control | Jun 25, 2019 | regression | —Unverified | 0 |
| Kernel Alignment Risk Estimator: Risk Prediction from Training Data | Jun 17, 2020 | regression | —Unverified | 0 |