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| Towards a Systematic Approach to Design New Ensemble Learning Algorithms | Feb 9, 2024 | DiversityEnsemble Learning | CodeCode Available | 0 |
| A Functional Analysis Approach to Symbolic Regression | Feb 9, 2024 | Benchmarkingregression | —Unverified | 0 |
| POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition | Feb 9, 2024 | regression | —Unverified | 0 |
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| Implicit Bias and Fast Convergence Rates for Self-attention | Feb 8, 2024 | Binary ClassificationDecoder | —Unverified | 0 |
| Gradient Aligned Regression via Pairwise Losses | Feb 8, 2024 | regression | CodeCode Available | 1 |
| An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs | Feb 8, 2024 | regression | CodeCode Available | 0 |
| Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients | Feb 8, 2024 | Econometricsregression | CodeCode Available | 0 |
| A comparative study on feature selection for a risk prediction model for colorectal cancer | Feb 7, 2024 | feature selectionregression | —Unverified | 0 |
| Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making | Feb 7, 2024 | Decision Makingregression | CodeCode Available | 1 |
| Riemann-Lebesgue Forest for Regression | Feb 7, 2024 | regression | —Unverified | 0 |
| Asymptotic Dynamics of Alternating Minimization for Bilinear Regression | Feb 7, 2024 | regression | —Unverified | 0 |
| NeRCC: Nested-Regression Coded Computing for Resilient Distributed Prediction Serving Systems | Feb 6, 2024 | regression | —Unverified | 0 |
| Multi-View Symbolic Regression | Feb 6, 2024 | Astronomyregression | CodeCode Available | 1 |
| Fast Online Changepoint Detection | Feb 6, 2024 | regressionTime Series | —Unverified | 0 |
| Multilinear Kernel Regression and Imputation via Manifold Learning | Feb 6, 2024 | Dimensionality ReductionImputation | —Unverified | 0 |
| Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels | Feb 6, 2024 | Graph ClassificationGraph Regression | CodeCode Available | 0 |
| An Optimal House Price Prediction Algorithm: XGBoost | Feb 6, 2024 | Predictionregression | —Unverified | 0 |
| Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations | Feb 5, 2024 | regression | —Unverified | 0 |
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| A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding | Feb 4, 2024 | Causal InferenceDimensionality Reduction | CodeCode Available | 0 |
| A Fast Method for Lasso and Logistic Lasso | Feb 4, 2024 | compressed sensingregression | —Unverified | 0 |
| Unifying Generation and Prediction on Graphs with Latent Graph Diffusion | Feb 4, 2024 | AllDecoder | CodeCode Available | 1 |
| The Developmental Landscape of In-Context Learning | Feb 4, 2024 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Query-decision Regression between Shortest Path and Minimum Steiner Tree | Feb 3, 2024 | Decision Makingregression | CodeCode Available | 0 |
| One-inflated zero-truncated Poisson and negative binomial regression models | Feb 3, 2024 | regression | —Unverified | 0 |
| Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models | Feb 3, 2024 | motion predictionregression | CodeCode Available | 0 |
| Association between dietary inflammatory index and Stroke in the US population: evidence from NHANES 1999–2018 | Feb 2, 2024 | Nutritionregression | —Unverified | 0 |
| Parameter uncertainties for imperfect surrogate models in the low-noise regime | Feb 2, 2024 | regression | CodeCode Available | 1 |
| Direct side information learning for zero-shot regression | Feb 2, 2024 | global-optimizationimage-classification | CodeCode Available | 0 |
| Target inductive methods for zero-shot regression | Feb 2, 2024 | regression | CodeCode Available | 0 |
| kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection | Feb 2, 2024 | Computational Efficiencyregression | —Unverified | 0 |
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| Adaptive Optimization for Prediction with Missing Data | Feb 2, 2024 | ImputationPrediction | —Unverified | 0 |
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| Quantum-Assisted Hilbert-Space Gaussian Process Regression | Feb 1, 2024 | Gaussian Processesregression | CodeCode Available | 0 |
| Spectrally Transformed Kernel Regression | Feb 1, 2024 | regression | —Unverified | 0 |
| Vertical Symbolic Regression via Deep Policy Gradient | Feb 1, 2024 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 |
| Multitask methods for predicting molecular properties from heterogeneous data | Jan 31, 2024 | regression | —Unverified | 0 |
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| Superiority of Multi-Head Attention in In-Context Linear Regression | Jan 30, 2024 | In-Context Learningregression | —Unverified | 0 |
| Personalized Differential Privacy for Ridge Regression | Jan 30, 2024 | regression | CodeCode Available | 0 |
| Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference | Jan 30, 2024 | Bayesian Inferencemodel | —Unverified | 0 |
| HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function | Jan 30, 2024 | regression | —Unverified | 0 |
| Multiple Yield Curve Modeling and Forecasting using Deep Learning | Jan 30, 2024 | Deep Learningquantile regression | —Unverified | 0 |
| MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval | Jan 29, 2024 | ClassificationModel Selection | CodeCode Available | 0 |