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Michele Donini

Istituto Italiano di Tecnologia
University of Padua

51

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805

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Voting with Random Classifiers (VORACE): Theoretical and Experimental Analysis.

2022 AAMAS | Adaptive Agents and Multi-Agents Systems
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Diverse Counterfactual Explanations for Anomaly Detection in Time Series.

2022 CoRR
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Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models.

2021 arXiv: Learning
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Voting with random classifiers (VORACE): theoretical and experimental analysis

2021 Autonomous Agents and Multi-Agent Systems
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Learning Deep Fair Graph Neural Networks

2020
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MARTHE: Scheduling the Learning Rate Via Online Hypergradients.

2020 arXiv: Learning
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Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning

2020 | Annual Conference on Neural Information Processing Systems
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Fair Bayesian Optimization.

2020 arXiv: Machine Learning
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Marthe: Scheduling the Learning Rate Via Online Hypergradients

2020 IJCAI | International Joint Conference on Artificial Intelligence
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Learning Fair and Transferable Representations with Theoretical Guarantees

2020 DSAA | IEEE International Conference on Data Science and Advanced Analytics
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