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Learning Theory

Learning theory

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Showing 526–550 of 852 papers

TitleStatusHype
Continuity of Generalized Entropy and Statistical Learning—0
Risk Guarantees for End-to-End Prediction and Optimization Processes—0
The VIP Gallery for Video Processing Education—0
Blackwell Online Learning for Markov Decision Processes—0
A Tight Lower Bound for Uniformly Stable Algorithms—0
Recent advances in deep learning theory—0
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning—0
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise—0
Reconstructing decision trees—0
Notes on Deep Learning Theory—0
Quantum learning algorithms imply circuit lower bounds—0
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding—0
On a Chatbot Navigating a User through a Concept-Based Knowledge Model—0
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning—0
A General Framework for Distributed Inference with Uncertain Models—0
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning—0
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory—0
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition—0
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate—0
Geometry Perspective Of Estimating Learning Capability Of Neural Networks—0
A Learning Theoretic Perspective on Local Explainability—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability—0
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