probabilistic program

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation CoRL 2025 Automated Statistical Model Discovery with Language Models ICML 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 ASTRA: Understanding the practical impact of robustness for probabilistic programs UAI 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023 Foundation Posteriors for Approximate Probabilistic Inference NeurIPS 2022 Automatic variational inference with cascading flows ICML 2021 Learning Task-General Representations with Generative Neuro-Symbolic Modeling ICLR 2021 Online Bayesian Goal Inference for Boundedly Rational Planning Agents NeurIPS 2020 Weighted Model Integration with Orthogonal Transformations IJCAI 2017 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015