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Learning Theory

Learning theory

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Showing 701–750 of 852 papers

TitleStatusHype
Learning Theory and Algorithms for Revenue Management in Sponsored Search—0
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization—0
A Learning Theory in Linear Systems under Compositional Models—0
A Tour of Reinforcement Learning: The View from Continuous ControlCode0
Localized Structured Prediction—0
Interpreting Deep Learning: The Machine Learning Rorschach Test?—0
Universality of Deep Convolutional Neural Networks—0
Deep learning generalizes because the parameter-function map is biased towards simple functions—0
Computing the Shattering Coefficient of Supervised Learning Algorithms—0
Learning-Based Compressive MRI—0
An Adaptive Clipping Approach for Proximal Policy Optimization—0
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications—0
Generalization and Expressivity for Deep Nets—0
Dimension-free Information Concentration via Exp-Concavity—0
The wisdom of networks: A general adaptation and learning mechanism of complex systems: The network core triggers fast responses to known stimuli; innovations require the slow network periphery and are encoded by core-remodeling—0
Generalization in Machine Learning via Analytical Learning TheoryCode0
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks—0
Generalization Error Bounds for Noisy, Iterative Algorithms—0
Multi-label Learning for Large Text Corpora using Latent Variable Model with Provable Gurantees—0
Statistical Learning Theory and Linguistic Typology: a Learnability Perspective on OT's Strict Domination—0
Convergence of Gradient EM on Multi-component Mixture of Gaussians—0
Experimental learning of quantum states—0
Providing theoretical learning guarantees to Deep Learning Networks—0
On Communication Complexity of Classification Problems—0
FADO: A Deterministic Detection/Learning Algorithm—0
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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