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Learning Theory

Learning theory

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Showing 676–700 of 852 papers

TitleStatusHype
Distributional property testing in a quantum world—0
Learning Schatten--von Neumann Operators—0
Robust Learning from Untrusted SourcesCode0
Anomaly detecting and ranking of the cloud computing platform by multi-view learning—0
Optimality Implies Kernel Sum Classifiers are Statistically Efficient—0
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds—0
Max-Diversity Distributed Learning: Theory and Algorithms—0
Deep Reinforcement Learning and the Deadly Triad—0
Machine Learning of coarse-grained Molecular Dynamics Force Fields—0
Practical methods for graph two-sample testingCode0
The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and ImplementationCode0
An Algorithmic Perspective on Imitation Learning—0
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers—0
A Bayesian Perspective of Statistical Machine Learning for Big DataCode0
An Optimal Transport View on Generalization—0
Piecewise Strong Convexity of Neural Networks—0
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential—0
Generalization Properties of hyper-RKHS and its Applications—0
When is there a Representer Theorem? Reflexive Banach spaces—0
Unsupervised parameter selection for denoising with the elastic net—0
Exponential inequalities for nonstationary Markov Chains—0
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error—0
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
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