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Learning Theory

Learning theory

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Showing 276–300 of 852 papers

TitleStatusHype
Graph-based Discriminators: Sample Complexity and Expressiveness—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Finding the True Frequent Itemsets—0
Fine-Grained Distribution-Dependent Learning Curves—0
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning—0
Which distribution were you sampled from? Towards a more tangible conception of data—0
Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity—0
Formal models of memory based on temporally-varying representations—0
Foundations and Frontiers of Graph Learning Theory—0
Exponential Hardness of Reinforcement Learning with Linear Function Approximation—0
Free resolutions of function classes via order complexes—0
From average case complexity to improper learning complexity—0
Function Norms and Regularization in Deep Networks—0
Artificial Intelligence and Spontaneous Collusion—0
GBHT: Gradient Boosting Histogram Transform for Density Estimation—0
Probability Distribution Learning and Its Application in Deep Learning—0
Generalisation in fully-connected neural networks for time series forecasting—0
Generalising realisability in statistical learning theory under epistemic uncertainty—0
Generalization and Expressivity for Deep Nets—0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
Generalization bounds for learning under graph-dependence: A survey—0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles—0
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