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Learning Theory

Learning theory

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Showing 626–650 of 852 papers

TitleStatusHype
Risk bounds for reservoir computing—0
Fast classification rates without standard margin assumptions—0
Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics—0
Compressive Learning for Semi-Parametric Models—0
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)—0
Sharper bounds for uniformly stable algorithms—0
Partial differential equation regularization for supervised machine learning—0
Siamese Networks: The Tale of Two Manifolds—0
Truth or Backpropaganda? An Empirical Investigation of Deep Learning TheoryCode0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
The Frechet Distance of training and test distribution predicts the generalization gap—0
ShardNet: One Filter Set to Rule Them All—0
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network—0
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective—0
On the Hardness of Robust Classification—0
Non-Bayesian Social Learning with Uncertain Models—0
Subjectivity Learning Theory towards Artificial General Intelligence—0
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds—0
Free resolutions of function classes via order complexes—0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
Lecture Notes: Selected topics on robust statistical learning theory—0
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design—0
On the Existence of Simpler Machine Learning Models—0
Domain Generalization via Multidomain Discriminant Analysis—0
Minimal Sample Subspace Learning: Theory and Algorithms—0
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