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| Impulse response estimation via flexible local projections | Apr 27, 2022 | regression | —Unverified | 0 |
| Imputation for High-Dimensional Linear Regression | Jan 24, 2020 | Imputationregression | —Unverified | 0 |
| Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic | Nov 17, 2022 | Decision MakingImputation | —Unverified | 0 |
| Imputation of missing values in multi-view data | Oct 26, 2022 | ImputationMeta-Learning | —Unverified | 0 |
| Imputing missing values with unsupervised random trees | Nov 15, 2019 | ImputationMissing Values | —Unverified | 0 |
| Inadmissibility of the corrected Akaike information criterion | Nov 17, 2022 | regression | —Unverified | 0 |
| In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods | Apr 11, 2025 | Allregression | —Unverified | 0 |
| Incivility Detection in Online Comments | Jun 1, 2019 | regression | —Unverified | 0 |
| incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages | Sep 1, 2021 | regression | —Unverified | 0 |
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| Explaining Emergent In-Context Learning as Kernel Regression | May 22, 2023 | Bayesian InferenceIn-Context Learning | —Unverified | 0 |
| Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System | Jan 27, 2023 | regressionSymbolic Regression | —Unverified | 0 |
| Incorporating domain knowledge into neural-guided search | Jul 19, 2021 | AutoMLregression | —Unverified | 0 |
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| Incorporating LLM Priors into Tabular Learners | Nov 20, 2023 | regressionSensitivity | —Unverified | 0 |
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| Incremental Learning in Diagonal Linear Networks | Aug 31, 2022 | Incremental Learningregression | —Unverified | 0 |
| Incremental Learning-to-Learn with Statistical Guarantees | Mar 21, 2018 | Incremental Learningregression | —Unverified | 0 |
| Incremental Local Gaussian Regression | Dec 1, 2014 | regression | —Unverified | 0 |
| Incremental Variational Sparse Gaussian Process Regression | Dec 1, 2016 | GPRIncremental Learning | —Unverified | 0 |
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| In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference | May 16, 2017 | regressionvalid | —Unverified | 0 |
| Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure | Jul 6, 2017 | regression | —Unverified | 0 |
| Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables | Nov 6, 2017 | regression | —Unverified | 0 |
| Individual Calibration with Randomized Forecasting | Jun 18, 2020 | Decision MakingFairness | —Unverified | 0 |
| Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization | Apr 12, 2020 | Diagnosticregression | —Unverified | 0 |
| Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity | Oct 23, 2016 | Demand ForecastingModel Selection | —Unverified | 0 |
| INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction | Jun 1, 2015 | regressionSentiment Analysis | —Unverified | 0 |
| Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation | Jul 15, 2024 | counterfactualGaussian Processes | —Unverified | 0 |
| Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds | Sep 21, 2023 | Gaussian ProcessesPAC learning | —Unverified | 0 |
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| Inference for high-dimensional exchangeable arrays | Sep 10, 2020 | Density Estimationregression | —Unverified | 0 |
| Inference for Large Scale Regression Models with Dependent Errors | Sep 8, 2024 | Gaussian Processesparameter estimation | —Unverified | 0 |
| Inference for Low-rank Tensors -- No Need to Debias | Dec 29, 2020 | regression | —Unverified | 0 |
| Inference for Network Regression Models with Community Structure | Jun 8, 2021 | Clusteringregression | —Unverified | 0 |
| Inference for Regression with Variables Generated by AI or Machine Learning | Feb 23, 2024 | Dimensionality ReductionImputation | —Unverified | 0 |
| Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection | Oct 24, 2019 | regressionRelation | —Unverified | 0 |
| Inference in high-dimensional regression models without the exact or L^p sparsity | Aug 21, 2021 | regression | —Unverified | 0 |
| Inference in High Dimensions with the Penalized Score Test | Jan 12, 2014 | regressionVariable Selection | —Unverified | 0 |
| Inference in Predictive Quantile Regressions | Jun 1, 2023 | quantile regressionregression | —Unverified | 0 |
| Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors | May 1, 2023 | regression | —Unverified | 0 |
| Approximate Post-Selective Inference for Regression with the Group LASSO | Dec 31, 2020 | regressionSelection bias | —Unverified | 0 |
| Inference under Covariate-Adaptive Randomization with Multiple Treatments | Jan 17, 2019 | regression | —Unverified | 0 |
| Inference under Covariate-Adaptive Randomization with Imperfect Compliance | Feb 7, 2021 | regression | —Unverified | 0 |
| Inference with Mondrian Random Forests | Oct 15, 2023 | regressionvalid | —Unverified | 0 |