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Tengshun Yang

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titleconferencedate
Piecewise Analysis of Probabilistic Programs via k-InductionPOPL 20262026-01-11
Proposes a method that extracts region splits from k-induction operators and combines them with the Optional Stopping Theorem to synthesize piecewise…
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Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial SolvingPLDI 20242024-06-24
Derives guaranteed upper and lower bounds for normalized posteriors by reducing inference to polynomial solving over templates guided by a new fixed‑point…
Talk on
Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial ...LAFI 20242024-01-14
Automated method derives guaranteed upper and lower bounds on a probabilistic program’s normalized posterior by reducing NPD bounding to bounds on the…
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