| A maximum principle argument for the uniform convergence of graph Laplacian regressors | Jan 29, 2019 | regression | —Unverified | 0 |
| Differentiable Genetic Programming for High-dimensional Symbolic Regression | Apr 18, 2023 | Interpretable Machine Learningregression | —Unverified | 0 |
| Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils | Feb 2, 2023 | regression | —Unverified | 0 |
| Differentiable Optimal Adversaries for Learning Fair Representations | Oct 21, 2020 | Fairnessregression | —Unverified | 0 |
| An Aggregation Method for Sparse Logistic Regression | Oct 25, 2014 | General Classificationregression | —Unverified | 0 |
| Differentiable Programming for Piecewise Polynomial Functions | Jan 1, 2021 | DenoisingImage Segmentation | —Unverified | 0 |
| Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series | Jan 11, 2021 | Denoisingregression | —Unverified | 0 |
| Differential Analysis of Directed Networks | Jul 26, 2018 | regression | —Unverified | 0 |
| Differentially Private Bayesian Inference for Generalized Linear Models | Nov 1, 2020 | Bayesian Inferenceregression | —Unverified | 0 |
| Bank Card Usage Prediction Exploiting Geolocation Information | Oct 13, 2016 | General ClassificationPosition | —Unverified | 0 |
| BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images | Oct 16, 2021 | Clinical KnowledgeGenerative Adversarial Network | —Unverified | 0 |
| An algebraic-geometric approach for linear regression without correspondences | Oct 12, 2018 | regression | —Unverified | 0 |
| Differentially Private _1-norm Linear Regression with Heavy-tailed Data | Jan 10, 2022 | regression | —Unverified | 0 |
| Barely Biased Learning for Gaussian Process Regression | Sep 20, 2021 | regression | —Unverified | 0 |
| Auto-Evaluation with Few Labels through Post-hoc Regression | Nov 19, 2024 | regression | —Unverified | 0 |
| Differentially Private Gaussian Processes | Jun 2, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Differentially Private Geodesic and Linear Regression | Apr 15, 2025 | regression | —Unverified | 0 |
| BART-based inference for Poisson processes | May 16, 2020 | regression | —Unverified | 0 |
| Adaptive Optimization for Prediction with Missing Data | Feb 2, 2024 | ImputationPrediction | —Unverified | 0 |
| An Alternative Graphical Lasso Algorithm for Precision Matrices | Mar 19, 2024 | regression | —Unverified | 0 |
| Differentially Private Learning Beyond the Classical Dimensionality Regime | Nov 20, 2024 | regression | —Unverified | 0 |
| Differentially Private Linear Regression over Fully Decentralized Datasets | Apr 16, 2020 | regression | —Unverified | 0 |
| Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases | Jul 30, 2014 | Privacy Preservingregression | —Unverified | 0 |
| Differentially Private Log-Location-Scale Regression Using Functional Mechanism | Apr 12, 2024 | parameter estimationregression | —Unverified | 0 |
| Balance is key: Private median splits yield high-utility random trees | Jun 15, 2020 | General Classificationregression | —Unverified | 0 |
| Differentially Private Model Personalization | Dec 1, 2021 | modelregression | —Unverified | 0 |
| Differentially Private Multi-Party Data Release for Linear Regression | Jun 16, 2022 | regression | —Unverified | 0 |
| Differentially Private Nonparametric Regression Under a Growth Condition | Nov 24, 2021 | Binary Classificationregression | —Unverified | 0 |
| Differentially Private Ordinary Least Squares | Jul 9, 2015 | Attributeregression | —Unverified | 0 |
| Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression | Jun 14, 2023 | Computational Efficiencyregression | —Unverified | 0 |
| Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants | Feb 28, 2025 | Privacy Preservingregression | —Unverified | 0 |
| Differentially Private Regression and Classification with Sparse Gaussian Processes | Sep 19, 2019 | ClassificationGaussian Processes | —Unverified | 0 |
| Differentially Private Regression for Discrete-Time Survival Analysis | Aug 24, 2017 | regressionSurvival Analysis | —Unverified | 0 |
| Differentially Private Regression with Unbounded Covariates | Feb 19, 2022 | regression | —Unverified | 0 |
| Differentially Private Simple Linear Regression | Jul 10, 2020 | regression | —Unverified | 0 |
| Differentially private sliced inverse regression in the federated paradigm | Jun 10, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm | Jan 16, 2024 | Dimensionality Reductionregression | —Unverified | 0 |
| Differentially Private Sparse Linear Regression with Heavy-tailed Responses | Jun 7, 2025 | regression | —Unverified | 0 |
| Differential Performance Debugging with Discriminant Regression Trees | Nov 11, 2017 | Clusteringregression | —Unverified | 0 |
| Differential Privacy for Sparse Classification Learning | Aug 2, 2019 | ClassificationGeneral Classification | —Unverified | 0 |
| Differential Privacy Mechanisms in Neural Tangent Kernel Regression | Jul 18, 2024 | Face Recognitionimage-classification | —Unverified | 0 |
| Diffuse and Disperse: Image Generation with Representation Regularization | Jun 10, 2025 | Image Generationregression | —Unverified | 0 |
| Achieving Online Regression Performance of LSTMs with Simple RNNs | May 16, 2020 | regression | —Unverified | 0 |
| Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds | Oct 18, 2024 | regression | —Unverified | 0 |
| Diffusion-Based Symbolic Regression | May 30, 2025 | Audio SynthesisDenoising | —Unverified | 0 |
| Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes | Feb 16, 2024 | feature selectionMortality Prediction | —Unverified | 0 |
| Diffusion index forecasts under weaker loadings: PCA, ridge regression, and random projections | Jun 11, 2025 | regression | —Unverified | 0 |
| Deep Neural Networks for Object Detection | Dec 1, 2013 | General Classificationimage-classification | —Unverified | 0 |
| Autoencoder Watchdog Outlier Detection for Classifiers | Oct 24, 2020 | Outlier Detectionregression | —Unverified | 0 |
| A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation | Dec 12, 2017 | regression | —Unverified | 0 |