Very interesting work! Fully on board that how much precision to allocate to imprecise representation is a key part of decision making. You might find this interesting (NeurIPS 2020): arxiv.org/abs/2011.06387
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Luigi Acerbi
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Researcher with public evidence across AI research.
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Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
What they're sharing
Dynamic allocation of limited memory resources in reinforcement learning arxiv.org
A world-first nationwide AI model will boost decision-making in healthcare | ELLIS Institute Finland ellisinstitute.fi
Machine and Human Intelligence | University of Helsinki helsinki.fi
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2/ The project is also associated with FINe-Health Foundry, a consortium project involving the development of a cutting-edge foundation model for decision making in healthcare, funded by Business Finland. www.ellisinstitute.fi/a-world-firs...
6/ If you find this interesting & have a strong background in probabilistic machine learning, check out our lab page and follow me here for updates; I will advertise open positions in the next few weeks. www.helsinki.fi/en/researchg...
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1/ Dear all, I am hiring a PhD student and/or postdoc to join my group at the @univhelsinkics.bsky.social and @ellisinstitute.fi! The general topic is Amortized Probabilistic Machine Learning for Decision-Making with applications in healthcare and scientific modelling. DL September 21 More info 👇
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