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Probabilistic Modeling

2,599 papers

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Papers

Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic IJCAI 2021
Reconciling Rewards with Predictive State Representations IJCAI 2021
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021
Probabilistic Sufficient Explanations IJCAI 2021
Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021
Deep Bucket Elimination IJCAI 2021
Partition Function Estimation: A Quantitative Study IJCAI 2021
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey IJCAI 2021
Neural Temporal Point Processes: A Review IJCAI 2021
On the Learnability of Knowledge in Multi-Agent Logics IJCAI 2021
Cascaded Head-colliding Attention IJCNLP 2021
Higher-order Derivatives of Weighted Finite-state Machines IJCNLP 2021
Regressing Location on Text for Probabilistic Geocoding IJCNLP 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation IJCNLP 2021
Symbol Grounding and Task Learning from Imperfect Corrections IJCNLP 2021
MAP Adaptation Characteristics in Forensic Long-Term Formant Analysis INTERSPEECH 2021
Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? INTERSPEECH 2021
Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings INTERSPEECH 2021
When random initializations help: a study of variational inference for community detection JMLR 2021
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021
Pathwise Conditioning of Gaussian Processes JMLR 2021
Counterfactual Mean Embeddings JMLR 2021
Matrix Product States for Inference in Discrete Probabilistic Models JMLR 2021
Sparse Popularity Adjusted Stochastic Block Model JMLR 2021
Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021