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← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Learning Theory
5,312 papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Prediction against a limited adversary
JMLR 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
JMLR 2021
Statistical Query Lower Bounds for Tensor PCA
JMLR 2021
Gradient Methods Never Overfit On Separable Data
JMLR 2021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
JMLR 2021
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation
JMLR 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
JMLR 2021
Adaptive estimation of nonparametric functionals
JMLR 2021
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime
JMLR 2021
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes
JMLR 2021
Individual Fairness in Hindsight
JMLR 2021
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
JMLR 2021
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
JMLR 2021
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA
JMLR 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks?
JMLR 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
JMLR 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
JMLR 2021
Optimal Rates of Distributed Regression with Imperfect Kernels
JMLR 2021
On the Estimation of Network Complexity: Dimension of Graphons
JMLR 2021
Refined approachability algorithms and application to regret minimization with global costs
JMLR 2021
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation
JMLR 2021
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
JMLR 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
JMLR 2021
Exact Asymptotics for Linear Quadratic Adaptive Control
JMLR 2021
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