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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Statistical Learning
4076 directly classified papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
Online Nonnegative CP-dictionary Learning for Markovian Data
JMLR 2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification
JMLR 2022
Fairness-Aware PAC Learning from Corrupted Data
JMLR 2022
Improved Classification Rates for Localized SVMs
JMLR 2022
Unbiased estimators for random design regression
JMLR 2022
Scalable and Efficient Hypothesis Testing with Random Forests
JMLR 2022
Signature Moments to Characterize Laws of Stochastic Processes
JMLR 2022
Estimating Density Models with Truncation Boundaries using Score Matching
JMLR 2022
Uniform deconvolution for Poisson Point Processes
JMLR 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
JMLR 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
JMLR 2022
Gaussian Process Boosting
JMLR 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates
JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting
JMLR 2022
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation
JMLR 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Functional Linear Regression with Mixed Predictors
JMLR 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
JMLR 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
JMLR 2022
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
Convergence Rates for Gaussian Mixtures of Experts
JMLR 2022
Model Averaging Is Asymptotically Better Than Model Selection For Prediction
JMLR 2022
The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures
JMLR 2022
Transfer Learning in Information Criteria-based Feature Selection
JMLR 2022
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