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Learning Theory

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Showing 451–475 of 852 papers

TitleStatusHype
Under-bagging Nearest Neighbors for Imbalanced Classification—0
Convergence Rates for Learning Linear Operators from Noisy Data—0
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications—0
Primal and Dual Combinatorial Dimensions—0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
Unified Regularity Measures for Sample-wise Learning and Generalization—0
Path classification by stochastic linear recurrent neural networks—0
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks—0
An induction proof of the backpropagation algorithm in matrix notation—0
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints—0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
A Framework for Machine Learning of Model Error in Dynamical SystemsCode0
On the Variance of the Fisher Information for Deep Learning—0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities—0
A Systems Theory of Transfer Learning—0
Learning Bounds for Open-Set LearningCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
The Principles of Deep Learning Theory—0
On Anytime Learning at MacroscaleCode0
Solving PDEs on Unknown Manifolds with Machine LearningCode0
GBHT: Gradient Boosting Histogram Transform for Density Estimation—0
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