Imagen de Portada

When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Du, Wenzhang
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning 62F40, 62G09 I.5.2; G.3; H.3.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
por: Alpay, Faruk, et al.
Publicado: (2025)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
por: Loffredo, Giuseppe, et al.
Publicado: (2025)

An Imbalance-Robust Evaluation Framework for Extreme Risk Forecasts
por: Nikolopoulos, Sotirios D.
Publicado: (2025)

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
por: Landers, Jonathan R.
Publicado: (2025)

ML-driven detection and reduction of ballast information in multi-modal datasets
por: Solovko, Yaroslav
Publicado: (2026)

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
por: Basu, Abhinaba, et al.
Publicado: (2026)

Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
por: Modak, Soumita
Publicado: (2026)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
por: Maturo, Fabrizio, et al.
Publicado: (2024)

Conservative Decisions with Risk Scores
por: Wei, Yishu, et al.
Publicado: (2025)

Censored lifespans in a double-truncated sample: Maximum likelihood inference for the exponential distribution
por: Sieg, Fiete, et al.
Publicado: (2025)

Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
por: Adutwum, Emmanuel
Publicado: (2026)

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
por: Wan, Shu, et al.
Publicado: (2026)

Bootstrapping not under the null?
por: Derumigny, Alexis, et al.
Publicado: (2025)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
por: Alagoz, Celal
Publicado: (2024)

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood
por: Damato, Stefano, et al.
Publicado: (2025)

Ostrom-Weighted Bootstrap: A Theoretically Optimal and Provably Complete Framework for Hierarchical Imputation in Multi-Agent Systems
por: Wakimoto, Hirofumi
Publicado: (2025)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
por: Kurbucz, Marcell T., et al.
Publicado: (2025)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
por: Cabral, Rafael, et al.
Publicado: (2024)

Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
por: Benitez, Edgar, et al.
Publicado: (2024)

Dimension-independent rates for structured neural density estimation
por: Vandermeulen, Robert A., et al.
Publicado: (2024)

Ranking of Multi-Response Experiment Treatments
por: Pebes-Trujillo, Miguel R., et al.
Publicado: (2024)

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
por: Degen, Isabella, et al.
Publicado: (2025)

Statistical Measures for Explainable Aspect-Based Sentiment Analysis: A Case Study on Environmental Discourse in Reddit
por: Stracqualursi, Luisa, et al.
Publicado: (2026)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
por: Manokhin, Valery, et al.
Publicado: (2026)

When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
por: Kurbucz, Marcell T.
Publicado: (2026)

Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
por: K, Prasanth K, et al.
Publicado: (2025)

Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
por: Galvão, Luciano Ribeiro, et al.
Publicado: (2025)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
por: Wibbeke, Jelke, et al.
Publicado: (2025)

Factorizable joint shift revisited
por: Tasche, Dirk
Publicado: (2026)

Confidence Sets for Multidimensional Scaling
por: Vishwanath, Siddharth, et al.
Publicado: (2025)

A Bayesian Bootstrap for Mixture Models
por: Cui, Fuheng, et al.
Publicado: (2023)

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
por: Kareem, Kazeem, et al.
Publicado: (2025)

Pair Correlation Factor and the Sample Complexity of Gaussian Mixtures
por: Aryan, Farzad
Publicado: (2025)

PRIM-cipal components analysis
por: Liu, Tianhao, et al.
Publicado: (2026)

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization
por: Raichur, Nisha Lakshmana, et al.
Publicado: (2025)

Causal Deep Learning
por: Vasilescu, M. Alex O.
Publicado: (2023)

Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
por: Dai, Fan, et al.
Publicado: (2026)

Statistical Multicriteria Benchmarking via the GSD-Front
por: Jansen, Christoph, et al.
Publicado: (2024)

Dense Video Understanding with Gated Residual Tokenization
por: Zhang, Haichao, et al.
Publicado: (2025)