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| Using Linear Regression for Iteratively Training Neural Networks | Jul 11, 2023 | regression | —Unverified | 0 |
| DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence Analysis Tasks | Jul 11, 2023 | Binary ClassificationDNA analysis | —Unverified | 0 |
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| Selective Sampling and Imitation Learning via Online Regression | Jul 11, 2023 | Imitation Learningregression | —Unverified | 0 |
| Text Descriptions are Compressive and Invariant Representations for Visual Learning | Jul 10, 2023 | DescriptiveFew-Shot Learning | —Unverified | 0 |
| Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors | Jul 10, 2023 | Predictionregression | —Unverified | 0 |
| An analysis of least squares regression and neural networks approximation for the pricing of swing options | Jul 10, 2023 | regression | —Unverified | 0 |
| CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning | Jul 10, 2023 | regression | CodeCode Available | 0 |
| Ensemble learning for blending gridded satellite and gauge-measured precipitation data | Jul 9, 2023 | Ensemble Learningregression | —Unverified | 0 |
| On the sample complexity of parameter estimation in logistic regression with normal design | Jul 9, 2023 | Binary ClassificationGeneralization Bounds | —Unverified | 0 |
| From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior | Jul 9, 2023 | regressionvalid | —Unverified | 0 |
| TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance | Jul 8, 2023 | regression | —Unverified | 0 |
| Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training | Jul 8, 2023 | regression | —Unverified | 0 |
| Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data | Jul 7, 2023 | regression | —Unverified | 0 |
| Learning Theory of Distribution Regression with Neural Networks | Jul 7, 2023 | Learning Theoryregression | —Unverified | 0 |
| Optimal Learners for Realizable Regression: PAC Learning and Online Learning | Jul 7, 2023 | PAC learningregression | —Unverified | 0 |
| Scalable Membership Inference Attacks via Quantile Regression | Jul 7, 2023 | quantile regressionregression | —Unverified | 0 |
| On Unified Adaptive Portfolio Management | Jul 7, 2023 | ManagementPortfolio Optimization | —Unverified | 0 |
| A Combinatorial Characterization of Supervised Online Learnability | Jul 7, 2023 | Learning Theoryregression | —Unverified | 0 |
| Explainable quantum regression algorithm with encoded data structure | Jul 7, 2023 | Combinatorial Optimizationfeature selection | —Unverified | 0 |
| One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention | Jul 7, 2023 | In-Context Learningregression | —Unverified | 0 |
| When No-Rejection Learning is Consistent for Regression with Rejection | Jul 6, 2023 | Predictionregression | CodeCode Available | 0 |
| Beyond Intuition, a Framework for Applying GPs to Real-World Data | Jul 6, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| OLR-WA Online Regression with Weighted Average | Jul 6, 2023 | regression | —Unverified | 0 |