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Learning Theory

Learning theory

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Showing 376–400 of 852 papers

TitleStatusHype
Optimal Rejection Function Meets Character Recognition Tasks—0
Approximability and Generalisation—0
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms—0
A Characterization of Multiclass Learnability—0
Contrasting random and learned features in deep Bayesian linear regression—0
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approachCode0
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
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
Universal Online Learning with Unbounded Losses: Memory Is All You Need—0
Learning deterministic hydrodynamic equations from stochastic active particle dynamics—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
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