Are you using test log-likelihood correctly?
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866916097253441536 |
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| author | Deshpande, Sameer K. Ghosh, Soumya Nguyen, Tin D. Broderick, Tamara |
| author_facet | Deshpande, Sameer K. Ghosh, Soumya Nguyen, Tin D. Broderick, Tamara |
| contents | Test log-likelihood is commonly used to compare different models of the same data or different approximate inference algorithms for fitting the same probabilistic model. We present simple examples demonstrating how comparisons based on test log-likelihood can contradict comparisons according to other objectives. Specifically, our examples show that (i) approximate Bayesian inference algorithms that attain higher test log-likelihoods need not also yield more accurate posterior approximations and (ii) conclusions about forecast accuracy based on test log-likelihood comparisons may not agree with conclusions based on root mean squared error. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_00219 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Are you using test log-likelihood correctly? Deshpande, Sameer K. Ghosh, Soumya Nguyen, Tin D. Broderick, Tamara Machine Learning Other Statistics Test log-likelihood is commonly used to compare different models of the same data or different approximate inference algorithms for fitting the same probabilistic model. We present simple examples demonstrating how comparisons based on test log-likelihood can contradict comparisons according to other objectives. Specifically, our examples show that (i) approximate Bayesian inference algorithms that attain higher test log-likelihoods need not also yield more accurate posterior approximations and (ii) conclusions about forecast accuracy based on test log-likelihood comparisons may not agree with conclusions based on root mean squared error. |
| title | Are you using test log-likelihood correctly? |
| topic | Machine Learning Other Statistics |
| url | https://arxiv.org/abs/2212.00219 |