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Building Fast and Reliable Machine Learning Systems with Yian Ma
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- Опубликовано: 19 авг 2024
- Yian Ma, an assistant professor in the Halıcıoğlu Data Science Institute at UC San Diego talks about his research using scalable inference methods for credible machine learning. This involves designing Bayesian inference methods to quantify uncertainty in the predictions of complex models; understanding computational and statistical guarantees of inference algorithms; and leveraging these scalable algorithms to learn from time series data and perform sequential decision making tasks.
[7/2024] [Show ID: 39710]
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Thank you for your report.
The way he explained the discriminator, seems to me like just "passing the buck" when it comes to determining whether an AI's "answers" are "correct."