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03/26/2023
On the tightness of information-theoretic bounds on generalization error of learning algorithms
A recent line of works, initiated by Russo and Xu, has shown that the ge...
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03/09/2023
On the Value of Stochastic Side Information in Online Learning
We study the effectiveness of stochastic side information in determinist...
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07/12/2022
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications
Transfer learning, or domain adaptation, is concerned with machine learn...
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05/10/2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis
The establishment of the link between causality and unsupervised domain ...
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05/06/2022
Fast Rate Generalization Error Bounds: Variations on a Theme
A recent line of works, initiated by Russo and Xu, has shown that the ge...
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09/03/2021
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms
Transfer learning is a machine learning paradigm where knowledge from on...
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05/04/2021
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge
Transfer learning is a machine learning paradigm where the knowledge fro...
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12/01/2020
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values
Collecting sufficient labelled training data for health and medical prob...
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11/16/2020
Imputation techniques on missing values in breast cancer treatment and fertility data
Clinical decision support using data mining techniques offers more intel...
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05/18/2020
