Co-occurring keywords · papers mentioning both
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
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms
AISTATS 2025
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences
EMNLP 2025
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
NeurIPS 2024
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
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
NeurIPS 2024
A Heavy-Tailed Algebra for Probabilistic Programming
NeurIPS 2023
Automatically marginalized MCMC in probabilistic programming
ICML 2023
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)
IJCAI 2023
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
NeurIPS 2023
On the Estimation of Gaussian Mixture Copula Models
ICML 2023
Probabilistic Programs as an Action Description Language
AAAI 2023
Scaling integer arithmetic in probabilistic programs
UAI 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals
AISTATS 2023
Amortized Rejection Sampling in Universal Probabilistic Programming
AISTATS 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming
CoRL 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
UAI 2022
Foundation Posteriors for Approximate Probabilistic Inference
NeurIPS 2022
Nonparametric Involutive Markov Chain Monte Carlo
ICML 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NeurIPS 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
ICML 2022
Tensor Program Optimization with Probabilistic Programs
NeurIPS 2022
3DP3: 3D Scene Perception via Probabilistic Programming
NeurIPS 2021