conftrace_

probabilistic programming

87 papers

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Also known as

PPS PP

Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) variational inference (2069) generative model (2892) graphical model (864) sequential monte carlo (90) hamiltonian monte carlo (92) amortized inference (102) inference compilation (5) posterior inference (138)

Papers

A Framework for Belief-based Programs and Their Verification (Abstract Reprint) AAAI 2026
Prediction of Hospital Associated Infections During Continuous Hospital Stays AAAI 2026
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
On the Estimation of Gaussian Mixture Copula Models ICML 2023
Automatically marginalized MCMC in probabilistic programming ICML 2023
Probabilistic Programs as an Action Description Language AAAI 2023
A Heavy-Tailed Algebra for Probabilistic Programming NIPS 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023
Scaling integer arithmetic in probabilistic programs UAI 2023
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach NIPS 2023
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022
Tensor Program Optimization with Probabilistic Programs NIPS 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling ICML 2022
Foundation Posteriors for Approximate Probabilistic Inference NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming CORL 2022
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021