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Learning Theory

Learning theory

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Showing 251–275 of 852 papers

TitleStatusHype
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks—0
A Statistical Learning Based System for Fake Website Detection—0
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents—0
Credal Learning Theory—0
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
A Linear Theory of Multi-Winner Voting—0
Contextual Search in the Presence of Adversarial Corruptions—0
Corpus-Based Computation of Reverse Associations—0
Optimal Approximations Made Easy—0
Coordination of Damping Controllers: A Novel Data-Informed Approach for Adaptability—0
Convergence Rates for Learning Linear Operators from Noisy Data—0
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees—0
Algorithmic statistics, prediction and machine learning—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
A Characterization of Multiclass Learnability—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Convergence of Gradient EM on Multi-component Mixture of Gaussians—0
Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture—0
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