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Learning Theory

Learning theory

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Showing 676–700 of 852 papers

TitleStatusHype
Regularization approaches for support vector machines with applications to biomedical data—0
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space—0
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder—0
Representative Social Choice: From Learning Theory to AI Alignment—0
Research on geometric figure classification algorithm based on Deep Learning—0
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime—0
Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes—0
Resurrecting Socrates in the Age of AI: A Study Protocol for Evaluating a Socratic Tutor to Support Research Question Development in Higher Education—0
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory—0
Revisiting Agnostic PAC Learning—0
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences—0
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture—0
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS—0
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning—0
Risk bounds for reservoir computing—0
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm—0
Risk Guarantees for End-to-End Prediction and Optimization Processes—0
Robot Learning Theory of Mind through Self-Observation: Exploiting the Intentions-Beliefs Synergy—0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
Robust Kernel-based Distribution Regression—0
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics—0
Robust NAS under adversarial training: benchmark, theory, and beyond—0
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data—0
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