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[LAFI'22] Rigorous Approximation of Posterior Inference for Probabilistic Programs
[OOPSLA] Approximate Computation with Outlier Detection in Topaz
I Used Bayesian Inference to Predict Coin Tosses in Julia
[ICFP'26] First-Class Constrained Types: Elaboration, Type Inference, Approximation, and a(…)
[OOPSLA24] Exact Bayesian Inference for Loopy Probabilistic Programs Using Generating Functions
[POPL'24] Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures
[OOPSLA'25] The Simple Essence of Monomorphization
Haskell for Imperative Programmers #16 - Type inference
Effects as Capabilities: Effect Handlers and Lightweight Effect Polymorphism (OOPSLA'20)
[ICFP'26] Another Type Inference Algorithm for First-class Implicit Polymorphism
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Last Updated: September 28, 2026
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Summary
Programmable MCMC with Soundly Composed Guide Programs (Video, This is the poster presentation for the youtube.com/watch?v=LUAi-mbQo0o&list=PLLlTVphLQsuPH-CZ-k-tzvXRHGhACOKtv ... First-Class Constrained Types: Elaboration, The Simple Essence of Monomorphization (Video, OOPSLA1 2025) Matthew Lutze, Philipp Schuster, and Jonathan Immanuel ... Jonathan Brachthäuser presents the underlying design decisions of the Effekt language at the
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