Buon giorno,

per chi fosse interessato, segnalo il seguente talk che si terrà online giovedì 28 ottobre alle ore 11.30 inglesi (12.30 in Italia).

Saluti, Massimiliano

------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Dear all,

it is time again for a new talk at the One WorldABC Seminarhttps://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar!

Our next speaker will be Michael Gutmannhttps://michaelgutmann.github.io/, who will talk about Neural Approximate Sufficient Statisticshttps://openreview.net/pdf?id=SRDuJssQud, on Thursday October 28, at 11.30am, with an abstract reported below.

To join the talk, please click on the Zoom link below

https://ed-ac-uk.zoom.us/j/82567695825 Meeting ID: 825 6769 5825 Passcode: hq1z8WYx

If you miss last talk by Matias Quiroz, you can access its recording here https://www.youtube.com/watch?v=SBAqwEID6Lo

We look forward to seeing you on Thursday, best wishes, Massimiliano on the behalf of the One World ABC Seminar Organisers.

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When: Thursday, October 28, 11.30am UK Time Speaker: Michael Gutmannhttps://michaelgutmann.github.io/, University of Edinburg Title: Neural Approximate Sufficient Statistics Abstract: My talk will first review the concept of sufficient statistics and then explain that we can learn them by learning mutual information maximizing representations. I will then explain how we used the learned statistics to boost the performance of both classical and recent methods for Bayesian parameter inference when the likelihood is intractable but sampling from the model is possible.

The talk is based on the paper: Neural Approximate Sufficient Statistics for Implicit Models. Y. Chen, D. Zhang, M. Gutmann, A. Courville, and Z. Zhu. In International Conference on Learning Representations (ICLR) 2021 https://openreview.net/pdf?id=SRDuJssQud