Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Methodology — 7 papers
• Statistics Theory — 6 papers
• Machine Learning — 3 papers
• Probability and Statistical Research — 2 papers
• Advanced Statistical Methods and Models — 2 papers
• Machine Learning — 2 papers
• Structural Health Monitoring Techniques — 2 papers
• Bayesian Modeling and Causal Inference — 1 papers
• Survey Sampling and Estimation Techniques — 1 papers
• Machine Learning and ELM — 1 papers

Highest-Cited Papers

1. 7 Reasons Bayes' Theorem Is the Most Consequential Equation You Were Never Taught
2. 7 Reasons Bayes' Theorem Is the Most Consequential Equation You Were Never Taught
3. Hierarchical Evidence Calculus (HEC): A Meta-Statistical Framework Unifying Frequentist and Bayesian Paradigms
4. When Is a Relevance Threshold Statistically Resolvable? Minimax Limits for Effect Classification
5. Robust Estimation and Inference with Categorical Data
6. The Equivariance Criterion in a Linear Model for Random-$X$ Cases
7. Nonparametric Regression on Fixed-Cardinality Subsets:Minimax Risk and Random-Design Effects
8. Which Class Is Stronger? A Bayesian Solution to a Class-Identification Problem
9. Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
10. Black‐Box Optimization With Simultaneous Statistical Inference for Optimal Performance
11. Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
12. Functional Adaptive Huber Linear Regression
13. Generalized Ridge Refitting for the Lasso and Prediction Improvement Bounds
14. Compound decisions and empirical Bayes via Bayesian nonparametrics
15. Likelihood-free inference with nuisance parameters through normalizing flows
16. Optimal rates for aggregation of affine estimators
17. Quantiles for multivariate distribution: a short survey of population concepts
18. A Reproducing-Kernel-Based Nonparametric Test for Conditional Independence of Functional Data
19. Revisiting dependence in multiple testing: empirical distribution approaches for FDP control
20. Finite Mixtures of Generalized Estimating Equations for Clustering Multivariate Correlated Outcomes