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Learning Theory

Learning theory

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TitleStatusHype
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
Verification of ML Systems via Reparameterization—0
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets—0
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks—0
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
Logic of Machine Learning—0
Estimates on Learning Rates for Multi-Penalty Distribution Regression—0
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation—0
Why Mixup Improves the Model Performance—0
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers—0
On the Maximum Mutual Information Capacity of Neural Architectures—0
Binary Classification with Classical Instances and Quantum Labels—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
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
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