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venISBA⁴⁻ | Xi'an's Og

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As I was released all of a sudden from the hospita around noonl, I managed to attend the last session of ISBA 2024 (after stopping by my airbnb for an emergency coffee next to the hospital and stopping for showering, changing clothes, and eating something more substantial than the contents of IV bags). My first of these last talks was about coresets by Trevor Campbell, for reducing sample sizes while keeping the likelihood roughly the same (and making me wondering if possibly getting some privacy on the side??) Original algorithm almost completely blind to the data, but a new version by subsample-optimize (KL distance to the posterior) version bringing huge improvements (although I missed the practical details on how the algorithm is reaching this minimum), namely a KL distance of order O(1), i.e., not growing in the sample size. Then, in the same session, a talk by Aikihiko Nakamura on mixing and PDMP, resulting in the novel bouncy Hamiltonian dynamics, which proves time reversible an

venISBA⁴⁻ | Xi&#039;an&#039;s Og Xi&#039;an&#039;s Og an attempt at bloggin, nothing more&#8230; << No! yes!! >> venISBA⁴⁻ A s I was released all of a sudden from the Ospedale Civile di Venezia around noon, I managed to attend the last session of ISBA 2024 (after stopping by my airbnb for an emergency coffee next to the hospital and stopping for showering, changing clothes, and eating something more substantial than the contents of IV bags). My first of these last talks was about coresets by Trevor Campbell, for reducing sample sizes while keeping the likelihood roughly the same (and making me

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