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Learning Theory

Learning theory

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TitleStatusHype
An Optimal Transport View on Generalization—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
A PAC Approach to Application-Specific Algorithm Selection—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
Applying statistical learning theory to deep learning—0
Approximability and Generalisation—0
Approximation in L^p(μ) with deep ReLU neural networks—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
Barren Plateaus in Variational Quantum Computing—0
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks—0
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees—0
Optimal Approximations Made Easy—0
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
A Statistical Learning Based System for Fake Website Detection—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
On the Existence of Simpler Machine Learning Models—0
A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models—0
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures—0
A Survey of Quantum Learning Theory—0
A Survey on Optimal Transport for Machine Learning: Theory and Applications—0
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
A Systems Theory of Transfer Learning—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
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