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Learning Theory

Learning theory

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Showing 726–750 of 852 papers

TitleStatusHype
Sparsity, variance and curvature in multi-armed bandits—0
Algorithmic learning of probability distributions from random data in the limit—0
Regularization approaches for support vector machines with applications to biomedical data—0
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory—0
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity—0
Function Norms and Regularization in Deep Networks—0
Wikipedia graph mining: dynamic structure of collective memoryCode0
Learning Neural Networks with Two Nonlinear Layers in Polynomial Time—0
A Denoising Loss Bound for Neural Network based Universal Discrete Denoisers—0
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network—0
Consistency Analysis for Binary Classification Revisited—0
The Topology of Statistical Verifiability—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
Optimal choice: new machine learning problem and its solution—0
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes—0
Nonconvex penalties with analytical solutions for one-bit compressive sensing—0
The free energy principle for action and perception: A mathematical review—0
Learning with Average Top-k Loss—0
Convergence Analysis of Gradient EM for Multi-component Gaussian Mixture—0
Stabiliser states are efficiently PAC-learnable—0
Learning a Variational Network for Reconstruction of Accelerated MRI DataCode0
Inference in Sparse Graphs with Pairwise Measurements and Side Information—0
Learning opacity in Stratal Maximum Entropy Grammar—0
Simple to Complex Cross-modal Learning to Rank—0
A Survey of Quantum Learning Theory—0
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