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Learning Theory

Learning theory

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Showing 301–325 of 852 papers

TitleStatusHype
Exponential Hardness of Reinforcement Learning with Linear Function Approximation—0
Generative Models of Huge Objects—0
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy—0
Quantum Learning Theory Beyond Batch Binary Classification—0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
On the Complexity of Computing Gödel Numbers—0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
Compression, Generalization and Learning—0
Sampling-based Nyström Approximation and Kernel QuadratureCode0
Learning stability of partially observed switched linear systems—0
Stretched and measured neural predictions of complex network dynamics—0
Optimal lower bounds for Quantum Learning via Information Theory—0
An Entropy-Based Model for Hierarchical Learning—0
Bayesian Interpolation with Deep Linear Networks—0
Homophily modulates double descent generalization in graph convolution networksCode0
Bagging is an Optimal PAC Learner—0
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis—0
Triadic Temporal Exponential Random Graph Models (TTERGM)—0
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity—0
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