Inference

Closeness testing from distributed measurements ALT 2026 Efficient State and Parameter Estimation of Nonlinear State-Space Models through Probabilistic Optimal Control L4DC 2026 Hyperbolic Belief Propagation UAI 2026 Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior UAI 2026 Learning general conditional independence structures via the neighbourhood lattice JMLR 2026 DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check ACL 2025 Powerful batch conformal prediction for classification AISTATS 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025 Learning Influence Adoption in Heterogeneous Networks AAAI 2022 A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm NeurIPS 2020 Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020 Efficient Heuristic Search for M-Modes Inference PGM 2020 Factor Graph Grammars NeurIPS 2020 Inference Strategies for Machine Translation with Conditional Masking EMNLP 2020 Lifted Hybrid Variational Inference IJCAI 2020 Missing Values in Multiple Joint Inference of Gaussian Graphical Models PGM 2020 Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations NeurIPS 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference AAAI 2020 Counting the Optimal Solutions in Graphical Models NeurIPS 2019 A Learning Error Analysis for Structured Prediction with Approximate Inference NeurIPS 2017 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Survey Propagation beyond Constraint Satisfaction Problems AISTATS 2016