predictive performance

Learning Fair Representations with Kolmogorov-Arnold Networks AAAI 2026 Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models ICML 2025 Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025 Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains WACV 2025 Feature Importance Metrics in the Presence of Missing Data ICML 2025 FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting ICML 2025 Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients CLeaR 2025 Learning with Expected Signatures: Theory and Applications ICML 2025 Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks ICLR 2025 New Bounds for Sparse Variational Gaussian Processes ICML 2025 Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction EMNLP 2025 Prediction models that learn to avoid missing values ICML 2025 Predictive Performance of Deep Quantum Data Re-uploading Models ICML 2025 Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More ICML 2025 Counterfactual Fairness by Combining Factual and Counterfactual Predictions NeurIPS 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data MLHC 2024 Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions ICML 2024 Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts ICML 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 Prediction-Oriented Bayesian Active Learning AISTATS 2023 Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions ICLR 2023