Ghent University Academic Bibliography

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A theory of desirable things

Jasper De Bock (UGent)

(2023) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 215. p.141-152
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Indistinguishability through exchangeability in quantum mechanics?

Keano De Vos (UGent) , Gert de Cooman (UGent) and Jasper De Bock (UGent)

(2023) International Symposium on Imprecise Probability : theories and applications. In Proceedings of Machine Learning Research 215. p.177-188
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Desirable sets of things and their logic

Gert de Cooman (UGent) , Arthur Van Camp (UGent) and Jasper De Bock (UGent)

(2023) International Symposium on Imprecise Probability : theories and applications. In Proceedings of machine learning research 215. p.153-164
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{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

Jixiang Qing (UGent) , Henry B. Moss, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. In Proceedings of Machine Learning Research 206. p.2565-2588
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On the calibration of probabilistic classifier sets

Thomas Mortier (UGent) , Viktor Bengs, Eyke Hüllermeier, Stijn Luca (UGent) and Willem Waegeman (UGent)

(2023) Proceedings of The 26th International Conference on Artificial Intelligence and Statistics. In Proceedings of Machine Learning Research 206. p.8857-8870
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Causal proxy models for concept-based model explanations

Z. Wu, Karel D'Oosterlinck (UGent) , A. Geiger, A. Zur and C. Potts

(2023) Proceedings of the 40th International Conference on Machine Learning. In Proceedings of machine learning research 202. p.37313-37334
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Mastering the unsupervised reinforcement learning benchmark from Pixels

S. Rajeswar, Pietro Mazzaglia (UGent) , Tim Verbelen (UGent) , A. Piche, Bart Dhoedt (UGent) , A. Courville and A. Lacoste

(2023) Proceedings of the 40th International Conference on Machine Learning. In Proceedings of machine learning research 202. p.28598-28617
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Sublinear expectations for countable-state uncertain processes

Alexander Erreygers (UGent)

(2023) International Symposium on Imprecise Probability : theories and applications. In Proceedings of Machine Learning Research 215. p.210-221
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Expected time averages in Markovian imprecise jump processes : a graph-theoretic characterisation of weak ergodicity

Yema Paul (UGent) , Alexander Erreygers (UGent) and Jasper De Bock (UGent)

(2023) International Symposium on Imprecise Probability : theories and applications. In Proceedings of machine learning research 215. p.379-389
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A systematic evaluation of node embedding robustness

Alexandru-Cristian Mara (UGent) , Jefrey Lijffijt (UGent) , Stephan Günnemann and Tijl De Bie (UGent)

(2022) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 198.

Academic Bibliography

A theory of desirable things

Indistinguishability through exchangeability in quantum mechanics?

Desirable sets of things and their logic

{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

On the calibration of probabilistic classifier sets

Causal proxy models for concept-based model explanations

Mastering the unsupervised reinforcement learning benchmark from Pixels

Sublinear expectations for countable-state uncertain processes

Expected time averages in Markovian imprecise jump processes : a graph-theoretic characterisation of weak ergodicity

A systematic evaluation of node embedding robustness

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