Domain adaptation by using causal inference to predict invariant conditional distributions

S Magliacane, T Van Ommen… - Advances in neural …, 2018 - proceedings.neurips.cc
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
被引用次数：248 相关文章

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen… - Advances in …, 2018 - proceedings.neurips.cc
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
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[HTML][HTML] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen, T Claassen, S Bongers… - researchain.net
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
[PDF] neurips.cc

[PDF][PDF] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen, T Claassen, S Bongers… - papers.neurips.cc
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
[PDF] uva.nl

[PDF][PDF] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen, T Claassen, S Bongers… - pure.uva.nl
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …

Domain adaptation by using causal inference to predict invariant conditional distributions

S Magliacane, T Van Ommen, T Claassen… - Annual Conference …, 2018 - research.ibm.com
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen, T Claassen, S Bongers… - 2019 - dare.uva.nl
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
[PDF] researchgate.net

[PDF][PDF] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T van Ommen, T Claassen, S Bongers… - researchgate.net
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …
[PDF] ru.nl

[PDF][PDF] Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

S Magliacane, T Ommen, T Claassen, S Bongers… - 2018 - repository.ubn.ru.nl
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …

Domain adaptation by using causal inference to predict invariant conditional distributions

S Magliacane, T van Ommen, T Claassen… - Proceedings of the …, 2018 - dl.acm.org
An important goal common to domain adaptation and causal inference is to make accurate
predictions when the distributions for the source (or training) domain (s) and target (or test) …