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03/15/2023
Cross-domain Sentiment Classification in Spanish
Sentiment Classification is a fundamental task in the field of Natural L...
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03/30/2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
Federated Learning is expected to provide strong privacy guarantees, as ...
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12/10/2021
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss
The ultimate performance of machine learning algorithms for classificati...
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10/22/2020
The Role of Mutual Information in Variational Classifiers
Overfitting data is a well-known phenomenon related with the generation ...
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08/07/2019
Extreme coverage in 5G Narrowband IoT: a LUT-based strategy to optimize shared channels
One of the main challenges in IoT is providing communication support to ...
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05/28/2019
Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution
Machine learning theory has mostly focused on generalization to samples ...
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02/14/2018
The Role of Information Complexity and Randomization in Representation Learning
A grand challenge in representation learning is to learn the different e...
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11/19/2017
Compression-Based Regularization with an Application to Multi-Task Learning
This paper investigates, from information theoretic grounds, a learning ...
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04/05/2016