| Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration | May 23, 2024 | regression | —Unverified | 0 |
| Regressor-free Molecule Generation to Support Drug Response Prediction | May 23, 2024 | Common Sense ReasoningDrug Discovery | —Unverified | 0 |
| Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms | May 23, 2024 | regression | —Unverified | 0 |
| Joining up the scattered anticancer knowledge on auraptene and umbelliprenin: a meta-analysis | May 23, 2024 | Classificationregression | CodeCode Available | 0 |
| Remarks on Loss Function of Threshold Method for Ordinal Regression Problem | May 22, 2024 | regression | —Unverified | 0 |
| Regression Trees Know Calculus | May 22, 2024 | Gaussian Processesregression | —Unverified | 0 |
| Deep linear networks for regression are implicitly regularized towards flat minima | May 22, 2024 | regression | CodeCode Available | 0 |
| Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity | May 22, 2024 | Denoisingregression | CodeCode Available | 0 |
| Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling | May 22, 2024 | GPRregression | —Unverified | 0 |
| LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language | May 21, 2024 | regression | CodeCode Available | 2 |
| Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods | May 21, 2024 | regression | CodeCode Available | 0 |
| A Local Gaussian Process Regression Approach to Frequency Response Function Estimation | May 21, 2024 | regression | —Unverified | 0 |
| Impact Analysis of the Chesa Boudin Administration | May 19, 2024 | regression | —Unverified | 0 |
| Movie Revenue Prediction using Machine Learning Models | May 19, 2024 | Decision MakingModel Selection | CodeCode Available | 1 |
| Geometry-Aware Instrumental Variable Regression | May 19, 2024 | regression | CodeCode Available | 0 |
| ReModels: Quantile Regression Averaging models | May 18, 2024 | quantile regressionregression | —Unverified | 0 |
| Excess Delay from GDP: Measurement and Causal Analysis | May 18, 2024 | regression | —Unverified | 0 |
| Prompt Exploration with Prompt Regression | May 17, 2024 | regression | —Unverified | 0 |
| Efficient Line Search Method Based on Regression and Uncertainty Quantification | May 17, 2024 | Bayesian Optimizationregression | —Unverified | 0 |
| Sparse Regression Codes for Non-coherent SIMO channels | May 16, 2024 | Decoderregression | —Unverified | 0 |
| A Novel Bounding Box Regression Method for Single Object Tracking | May 16, 2024 | Object Trackingregression | —Unverified | 0 |
| Machine Learning Driven Biomarker Selection for Medical Diagnosis | May 16, 2024 | feature selectionMedical Diagnosis | —Unverified | 0 |
| MTLComb: multi-task learning combining regression and classification tasks for joint feature selection | May 16, 2024 | feature selectionMulti-Task Learning | CodeCode Available | 0 |
| FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection | May 16, 2024 | Objectobject-detection | —Unverified | 0 |
| An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data | May 15, 2024 | Classificationfeature selection | CodeCode Available | 0 |
| Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning | May 15, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| On the Saturation Effect of Kernel Ridge Regression | May 15, 2024 | regression | —Unverified | 0 |
| Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis | May 15, 2024 | Generalization Boundsregression | CodeCode Available | 0 |
| Scalable Sparse Regression for Model Discovery: The Fast Lane to Insight | May 14, 2024 | Model Discoveryregression | CodeCode Available | 0 |
| Latent group structure in linear panel data models with endogenous regressors | May 14, 2024 | regression | —Unverified | 0 |
| RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing | May 14, 2024 | regressionvalid | CodeCode Available | 0 |
| Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction | May 14, 2024 | Dimensionality Reductionregression | —Unverified | 0 |
| Learning Decision Policies with Instrumental Variables through Double Machine Learning | May 14, 2024 | Decision Makingregression | CodeCode Available | 0 |
| Trade Openness, Tariffs and Economic Growth: An Empirical Study from Countries of G-20 | May 13, 2024 | regression | —Unverified | 0 |
| Simultaneous Inference for Local Structural Parameters with Random Forests | May 13, 2024 | Causal Inferenceregression | —Unverified | 0 |
| Squeezing Lemons with Hammers: An Evaluation of AutoML and Tabular Deep Learning for Data-Scarce Classification Applications | May 13, 2024 | AutoMLMeta-Learning | —Unverified | 0 |
| Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature | May 13, 2024 | regression | CodeCode Available | 0 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 |
| Kernel Three Pass Regression Filter | May 12, 2024 | regression | —Unverified | 0 |
| Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression | May 11, 2024 | regressionSymbolic Regression | —Unverified | 0 |
| ISR: Invertible Symbolic Regression | May 10, 2024 | Density Estimationregression | —Unverified | 0 |
| Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation | May 9, 2024 | Decision MakingMulti-Label Learning | —Unverified | 0 |
| Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression | May 8, 2024 | regression | —Unverified | 0 |
| How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression | May 8, 2024 | Deep Learningregression | —Unverified | 0 |
| Uncertainty quantification in metric spaces | May 8, 2024 | regressionUncertainty Quantification | —Unverified | 0 |
| Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning | May 7, 2024 | regressionscientific discovery | CodeCode Available | 0 |
| Uncertainty Quantification Metrics for Deep Regression | May 7, 2024 | regressionUncertainty Quantification | —Unverified | 0 |
| Multiparameter regularization and aggregation in the context of polynomial functional regression | May 7, 2024 | regression | —Unverified | 0 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 |
| Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference | May 7, 2024 | Bayesian InferenceData Augmentation | —Unverified | 0 |