model selection

A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data NeurIPS 2024 AMLB: an AutoML Benchmark JMLR 2024 An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024 Approximate Leave-one-out Cross Validation for Regression with ℓ_1 Regularizers AISTATS 2024 Bridge the Modality and Capability Gaps in Vision-Language Model Selection NeurIPS 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Characterizing Text Datasets with Psycholinguistic Features EMNLP 2024 Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models NAACL 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024 Data Summarization via Bilevel Optimization JMLR 2024 Data Thinning for Convolution-Closed Distributions JMLR 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NeurIPS 2024 Don’t Waste Your Time: Early Stopping Cross-Validation AutoML 2024 Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation ICLR 2024 Early Stopping Against Label Noise Without Validation Data ICLR 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient Transferability Assessment for Selection of Pre-Trained Detectors WACV 2024 Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024