Found: 17
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Utilising energy function and variational inference training for learning a graph neural network architecture.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1219, doi. 10.1007/s10994-024-06513-2
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- Article
Differentially private Riemannian optimization.
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- Machine Learning, 2024, v. 113, n. 3, p. 1133, doi. 10.1007/s10994-023-06508-5
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- Article
Correction to: Learning to bid and rank together in recommendation systems.
- Published in:
- 2024
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- Publication type:
- Correction Notice
OT-net: a reusable neural optimal transport solver.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1243, doi. 10.1007/s10994-023-06493-9
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- Publication type:
- Article
Persistence B-spline grids: stable vector representation of persistence diagrams based on data fitting.
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- Machine Learning, 2024, v. 113, n. 3, p. 1373, doi. 10.1007/s10994-023-06492-w
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- Publication type:
- Article
Fast deep mixtures of Gaussian process experts.
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- Machine Learning, 2024, v. 113, n. 3, p. 1483, doi. 10.1007/s10994-023-06491-x
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- Publication type:
- Article
On the effects of biased quantum random numbers on the initialization of artificial neural networks.
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- Machine Learning, 2024, v. 113, n. 3, p. 1189, doi. 10.1007/s10994-023-06490-y
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- Publication type:
- Article
No regret sample selection with noisy labels.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1163, doi. 10.1007/s10994-023-06478-8
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- Publication type:
- Article
Improving fraud detection via imbalanced graph structure learning.
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- Machine Learning, 2024, v. 113, n. 3, p. 1069, doi. 10.1007/s10994-023-06464-0
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- Publication type:
- Article
Principled diverse counterfactuals in multilinear models.
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- Machine Learning, 2024, v. 113, n. 3, p. 1421, doi. 10.1007/s10994-023-06411-z
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- Publication type:
- Article
Modeling PU learning using probabilistic logic programming.
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- Machine Learning, 2024, v. 113, n. 3, p. 1351, doi. 10.1007/s10994-023-06461-3
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- Publication type:
- Article
Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity.
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- Machine Learning, 2024, v. 113, n. 3, p. 1445, doi. 10.1007/s10994-023-06447-1
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- Publication type:
- Article
Structural causal models reveal confounder bias in linear program modelling.
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- Machine Learning, 2024, v. 113, n. 3, p. 1329, doi. 10.1007/s10994-023-06431-9
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- Publication type:
- Article
Explainable models via compression of tree ensembles.
- Published in:
- Machine Learning, 2024, v. 113, n. 3, p. 1303, doi. 10.1007/s10994-023-06463-1
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- Publication type:
- Article
Word embeddings-based transfer learning for boosted relational dependency networks.
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- Machine Learning, 2024, v. 113, n. 3, p. 1269, doi. 10.1007/s10994-023-06404-y
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- Publication type:
- Article
Composition of relational features with an application to explaining black-box predictors.
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- Machine Learning, 2024, v. 113, n. 3, p. 1091, doi. 10.1007/s10994-023-06399-6
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- Publication type:
- Article
Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment.
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- Machine Learning, 2024, v. 113, n. 3, p. 1043, doi. 10.1007/s10994-023-06317-w
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- Article