Marcel Wienöbst
@mwien.bsky.social
📤 125
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Postdoc working on causality
reposted by
Marcel Wienöbst
Ragnar {Groot Koerkamp}
about 1 month ago
New preprint: The SimdQuickHeap is the fastest priority queue by far! 2x faster than a radix heap and up to 10x faster than binary heaps.
arxiv.org/abs/2604.25681
with Marvin Williams and Johannes Breitling:
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SimdQuickHeap: The QuickHeap Reconsidered
Priority queues are data structures that maintain a dynamic collection of elements and allow inserting new elements and removing the smallest element. The most widely known and used priority queue is ...
https://arxiv.org/abs/2604.25681
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Excited to share a recent preprint (with an accompanying softare package named CIfly) that introduces a unifying framework for algorithm development in graphical causal inference! Joint work with Sebastian Weichwald and Leonard Henckel 🧵
arxiv.org/abs/2506.15758
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Linear-Time Primitives for Algorithm Development in Graphical Causal Inference
We introduce CIfly, a framework for efficient algorithmic primitives in graphical causal inference that isolates reachability as a reusable core operation. It builds on the insight that many causal re...
https://arxiv.org/abs/2506.15758
10 months ago
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reposted by
Marcel Wienöbst
Sam Power
about 1 year ago
keen to read this one!
arxiv.org/abs/2504.12190
'Creating non-reversible rejection-free samplers by rebalancing skew-balanced Markov jump processes' - Erik Jansson, Moritz Schauer, Ruben Seyer, Akash Sharma
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reposted by
Marcel Wienöbst
Moritz Schauer
over 1 year ago
⭐Small milestone: 200 Github stars for
github.com/mschauer/Cau...
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GitHub - mschauer/CausalInference.jl: Causal inference, graphical models and structure learning in Julia
Causal inference, graphical models and structure learning in Julia - mschauer/CausalInference.jl
https://github.com/mschauer/CausalInference.jl
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