Probabilistic Modeling

Anytime Information Cascade Popularity Prediction via Self-Exciting Processes ICML 2022 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022 A Reparameterization of Mixtures of Truncated Basis Functions and its Applications PGM 2022 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NeurIPS 2022 A Statistical Manifold Framework for Point Cloud Data ICML 2022 A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery Interspeech 2022 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Bayesian Recurrent Units and the Forward-Backward Algorithm Interspeech 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022 CARD: Classification and Regression Diffusion Models NeurIPS 2022 Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration CVPR 2022 COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence IJCAI 2022 Comparing Distributions by Measuring Differences that Affect Decision Making ICLR 2022 Conceptualizing Treatment Leakage in Text-based Causal Inference NAACL 2022 Concrete Score Matching: Generalized Score Matching for Discrete Data NeurIPS 2022 Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery NeurIPS 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations ACML 2022 Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NeurIPS 2022 Continuously Tempered PDMP samplers NeurIPS 2022