← Keywords

learning theory

518 papers

Explore in graph

Co-occurring keywords

generalization bound (649) sample complexity (1158) statistical learning (350) neural network (6616) online learning (1770) gradient descent (1143) stochastic gradient descent (1088) empirical risk minimization (348) convergence rate (606) pac learning (280)

Papers

Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
Testably Learning Polynomial Threshold Functions NIPS 2024
Stability and L2-penalty in Model Averaging JMLR 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis NIPS 2024
Trade-Offs of Diagonal Fisher Information Matrix Estimators NIPS 2024
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure AAAI 2024
On the Sparsity of the Strong Lottery Ticket Hypothesis NIPS 2024
Variance estimation in compound decision theory under boundedness NIPS 2024
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
How many classifiers do we need? NIPS 2024
Debiasing Evaluations That Are Biased by Evaluations JMLR 2024
On the Concentration of the Minimizers of Empirical Risks JMLR 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NIPS 2024
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs IJCAI 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective NIPS 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
Model Collapse Demystified: The Case of Regression NIPS 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Optimal Parallelization of Boosting NIPS 2024
Fat-Shattering Dimension of k-fold Aggregations JMLR 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning NIPS 2024