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Learning Theory

Learning theory

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Showing 451–475 of 852 papers

TitleStatusHype
The Trade-offs of Domain Adaptation for Neural Language Models—0
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory—0
Comparing Text Representations: A Theory-Driven ApproachCode0
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases—0
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians—0
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
A Framework for Machine Learning of Model Error in Dynamical SystemsCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
On the Variance of the Fisher Information for Deep Learning—0
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