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Learning Theory

Learning theory

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Showing 376–400 of 852 papers

TitleStatusHype
Generalization Error Bounds for Learning under Censored Feedback—0
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework—0
Is Transductive Learning Equivalent to PAC Learning?—0
Just Mix Once: Worst-group Generalization by Group Interpolation—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
Labeled sample compression schemes for complexes of oriented matroids—0
Large Language Models at Work in China's Labor Market—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses—0
Transductive Learning Is Compact—0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering—0
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers—0
Generalization bounds for learning under graph-dependence: A survey—0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Agnostic Process Tomography—0
Learning circuits with few negations—0
Generalization and Expressivity for Deep Nets—0
Generalising realisability in statistical learning theory under epistemic uncertainty—0
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