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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
Multi-Agent Best Arm Identification with Private Communications
ICML 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms
JMLR 2023
The Statistical Scope of Multicalibration
ICML 2023
A Permutation-Free Kernel Independence Test
JMLR 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions
JMLR 2023
Model-agnostic Measure of Generalization Difficulty
ICML 2023
Inference on the Change Point under a High Dimensional Covariance Shift
JMLR 2023
Adaptive Data Depth via Multi-Armed Bandits
JMLR 2023
Evaluating and reducing the distance between synthetic and real speech distributions
INTERSPEECH 2023
Generalization error bounds for multiclass sparse linear classifiers
JMLR 2023
Optimal Convergence Rates for Distributed Nystroem Approximation
JMLR 2023
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation
JMLR 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data
JMLR 2023
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction
ICML 2023
Statistical Robustness of Empirical Risks in Machine Learning
JMLR 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
JMLR 2023
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
ICML 2023
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
ICML 2023
Benign overfitting in ridge regression
JMLR 2023
Maximum likelihood estimation in Gaussian process regression is ill-posed
JMLR 2023
Training Normalizing Flows from Dependent Data
ICML 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates
JMLR 2023
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