 Designing Perceptual Puzzles by Differentiating Probabilistic ProgramsInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022 |
 Guaranteed Bounds for Posterior Inference in Universal Probabilistic
ProgrammingACM-SIGPLAN Symposium on Programming Language Design and Implementation (PLDI), 2022 |
 Nonparametric Hamiltonian Monte CarloInternational Conference on Machine Learning (ICML), 2021 |
 On Correctness of Automatic Differentiation for Non-Differentiable
FunctionsNeural Information Processing Systems (NeurIPS), 2020 |
 Planning as Inference in Epidemiological ModelsFrontiers in Artificial Intelligence (FAI), 2020 |
 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic
Programs with Stochastic SupportInternational Conference on Machine Learning (ICML), 2019 |
 Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous
VariablesNeural Information Processing Systems (NeurIPS), 2019 |
