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Learning Theory

Learning theory

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Showing 276–300 of 852 papers

TitleStatusHype
Contrastive Learning as Kernel Approximation—0
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks—0
Algorithmic Stability and Uniform Generalization—0
Contrasting random and learned features in deep Bayesian linear regression—0
Barren Plateaus in Variational Quantum Computing—0
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents—0
Continuity of Generalized Entropy and Statistical Learning—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
Algorithmic learning of probability distributions from random data in the limit—0
Constructive Large Language Models Alignment with Diverse Feedback—0
Constrained Learning with Non-Convex Losses—0
Consistency Analysis for Binary Classification Revisited—0
A Learning Theory in Linear Systems under Compositional Models—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—0
Approximation in L^p(μ) with deep ReLU neural networks—0
Computing the Shattering Coefficient of Supervised Learning Algorithms—0
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design—0
Approximability and Generalisation—0
A learning theory for quantum photonic processors and beyond—0
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs—0
A Characterization of List Learnability—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
Computable learning of natural hypothesis classes—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—0
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