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Gholamali Aminian

Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Semi-Counterfactual Risk Minimization Via Neural Networks
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms

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