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| Bayes-optimal Learning of Deep Random Networks of Extensive-width | Feb 1, 2023 | Formregression | —Unverified | 0 |
| Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls | Feb 1, 2023 | regression | —Unverified | 0 |
| Learning Functional Transduction | Feb 1, 2023 | regression | CodeCode Available | 0 |
| A Nearly-Optimal Bound for Fast Regression with _ Guarantee | Feb 1, 2023 | regression | —Unverified | 0 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | CodeCode Available | 0 |
| Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression | Feb 1, 2023 | regression | —Unverified | 0 |
| Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression | Feb 1, 2023 | regressionSymbolic Regression | —Unverified | 0 |
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| Adaptive sparseness for correntropy-based robust regression via automatic relevance determination | Jan 31, 2023 | Bayesian Inferencefeature selection | —Unverified | 0 |
| Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond | Jan 31, 2023 | regression | —Unverified | 0 |
| Multicalibration as Boosting for Regression | Jan 31, 2023 | regression | CodeCode Available | 1 |
| An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features | Jan 31, 2023 | Information RetrievalMusic Information Retrieval | —Unverified | 0 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 |
| Near Optimal Private and Robust Linear Regression | Jan 30, 2023 | regression | —Unverified | 0 |
| Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery | Jan 30, 2023 | Model Discoveryregression | —Unverified | 0 |
| Understanding Self-Distillation in the Presence of Label Noise | Jan 30, 2023 | Binary Classificationregression | —Unverified | 0 |
| A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins | Jan 30, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based Sentiment | Jan 29, 2023 | regression | CodeCode Available | 0 |
| Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study) | Jan 29, 2023 | regression | —Unverified | 0 |
| Implicit Regularization for Group Sparsity | Jan 29, 2023 | regression | CodeCode Available | 0 |
| Controlling Steering with Energy-Based Models | Jan 28, 2023 | regression | —Unverified | 0 |
| Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System | Jan 27, 2023 | regressionSymbolic Regression | —Unverified | 0 |
| A Simple Algorithm For Scaling Up Kernel Methods | Jan 26, 2023 | regression | CodeCode Available | 0 |
| Adults in the room? The auditor and dividends in small firms: Evidence from a natural experiment | Jan 26, 2023 | regression | —Unverified | 0 |
