tractable inference

A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 On the Relationship Between Monotone and Squared Probabilistic Circuits AAAI 2025 Restructuring Tractable Probabilistic Circuits AISTATS 2025 A Tractable Inference Perspective of Offline RL NeurIPS 2024 Soft Learning Probabilistic Circuits PGM 2024 Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs ICLR 2024 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Continuous Mixtures of Tractable Probabilistic Models AAAI 2023 Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits ICML 2023 Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference UAI 2023 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023 Exchangeability-Aware Sum-Product Networks IJCAI 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 Tractable Regularization of Probabilistic Circuits NeurIPS 2021 Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures PGM 2020 On the Relationship Between Probabilistic Circuits and Determinantal Point Processes UAI 2020 Residual Sum-Product Networks PGM 2020 Strudel: Learning Structured-Decomposable Probabilistic Circuits PGM 2020 Sum-Product Network Decompilation PGM 2020 Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 Towards Hardware-Aware Tractable Learning of Probabilistic Models NeurIPS 2019 Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NeurIPS 2018 Sum-Product-Quotient Networks AISTATS 2018