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Learning Theory

Learning theory

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Showing 451–475 of 852 papers

TitleStatusHype
Online Learning: Stochastic, Constrained, and Smoothed Adversaries—0
Online Learning via Sequential Complexities—0
On Reject and Refine Options in Multicategory Classification—0
On statistical learning via the lens of compression—0
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?—0
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay—0
On the Comparison between Multi-modal and Single-modal Contrastive Learning—0
On the Complexity of Computing Gödel Numbers—0
On the Complexity of Learning Description Logic Ontologies—0
On the Generalization Gap in Reparameterizable Reinforcement Learning—0
On the generalization of learning algorithms that do not converge—0
On the Hardness of Bandit Learning—0
On the Hardness of PAC-learning Stabilizer States with Noise—0
On the Hardness of Robust Classification—0
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems—0
On the Learnability of Out-of-distribution Detection—0
On the Maximum Mutual Information Capacity of Neural Architectures—0
On the non-efficient PAC learnability of conjunctive queries—0
On the Pseudo-Dimension of Nearly Optimal Auctions—0
On the robustness of randomized classifiers to adversarial examples—0
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels—0
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing—0
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification—0
On the Complexity of Labeled Datasets—0
Optimality Implies Kernel Sum Classifiers are Statistically Efficient—0
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