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Learning Theory

Learning theory

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Showing 401–425 of 852 papers

TitleStatusHype
Information-Theoretic Analysis of Minimax Excess Risk—0
Artificial Intelligence and Spontaneous Collusion—0
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift—0
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelCode0
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient—0
Smoothed Online Learning is as Easy as Statistical Learning—0
The no-free-lunch theorems of supervised learning—0
Interplay between depth of neural networks and locality of target functions—0
Limitation of Characterizing Implicit Regularization by Data-independent Functions—0
Learning deterministic hydrodynamic equations from stochastic active particle dynamics—0
Universal Online Learning with Unbounded Losses: Memory Is All You Need—0
Deep Learning Optimization Theory - Trajectory Analysis of Gradient Descent—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Universal Online Learning: an Optimistically Universal Learning Rule—0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
Formal models of memory based on temporally-varying representations—0
Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics—0
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry—0
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks—0
Intrinisic Gradient Compression for Federated Learning—0
Black-box tests for algorithmic stability—0
Mesarovician Abstract Learning Systems—0
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
Uniform Brackets, Containers, and Combinatorial Macbeath Regions—0
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