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Learning Theory

Learning theory

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Showing 276–300 of 852 papers

TitleStatusHype
Uniform Risk Bounds for Learning with Dependent Data Sequences—0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation—0
ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System—0
Margin theory for the scenario-based approach to robust optimization in high dimension—0
Near Optimal Memory-Regret Tradeoff for Online Learning—0
Learning curves for deep structured Gaussian feature models—0
Exponential Hardness of Reinforcement Learning with Linear Function Approximation—0
Generative Models of Huge Objects—0
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy—0
Quantum Learning Theory Beyond Batch Binary Classification—0
Variational Bayesian Neural Networks via Resolution of SingularitiesCode0
On the Complexity of Computing Gödel Numbers—0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationCode1
Compression, Generalization and Learning—0
Sampling-based Nyström Approximation and Kernel QuadratureCode0
Learning stability of partially observed switched linear systems—0
Stretched and measured neural predictions of complex network dynamics—0
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