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Learning Theory

Learning theory

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Showing 576–600 of 852 papers

TitleStatusHype
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications—0
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory—0
Good Classifiers are Abundant in the Interpolating Regime—0
An Optimal Elimination Algorithm for Learning a Best Arm—0
Revisiting minimum description length complexity in overparameterized modelsCode1
Logic of Machine Learning—0
Estimates on Learning Rates for Multi-Penalty Distribution Regression—0
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation—0
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers—0
Why Mixup Improves the Model Performance—0
Binary Classification with Classical Instances and Quantum Labels—0
On the Maximum Mutual Information Capacity of Neural Architectures—0
Foreseeing the Benefits of Incidental SupervisionCode0
Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees—0
Unique properties of adversarially trained linear classifiers on Gaussian data—0
Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method—0
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node DistributionCode1
On Learnability under General Stochastic Processes—0
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNsCode0
Learning Theory for Estimation of Animal Motion Submanifolds—0
Distributed Kernel Ridge Regression with Communications—0
Design-unbiased statistical learning in survey sampling—0
Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS—0
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