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06/20/2023
Mean-field Analysis of Generalization Errors
We propose a novel framework for exploring weak and L_2 generalization e...
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04/27/2023
On the Generalization Error of Meta Learning for the Gibbs Algorithm
We analyze the generalization ability of joint-training meta learning al...
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10/18/2022
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
Various approaches have been developed to upper bound the generalization...
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10/15/2022
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
This paper provides an exact characterization of the expected generaliza...
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10/02/2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Generalization error boundaries are essential for comprehending how well...
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09/15/2022
Semi-Counterfactual Risk Minimization Via Neural Networks
Counterfactual risk minimization is a framework for offline policy optim...
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02/24/2022
Tighter Expected Generalization Error Bounds via Convexity of Information Measures
Generalization error bounds are essential to understanding machine learn...
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02/24/2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
A common assumption in semi-supervised learning is that the labeled, unl...
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11/02/2021
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
We provide an information-theoretic analysis of the generalization abili...
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07/28/2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Bounding the generalization error of a supervised learning algorithm is ...
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02/03/2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Generalization error bounds are critical to understanding the performanc...
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10/23/2020