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Probabilistic Modeling

2591 directly classified papers

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Papers

A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NIPS 2022
Approximate Bayesian Computation via Classification JMLR 2022
Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions JMLR 2022
Motron: Multimodal Probabilistic Human Motion Forecasting CVPR 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs JMLR 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features JMLR 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations JMLR 2022
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection CVPR 2022
A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes NIPS 2022
Epistemic Logic of Likelihood and Belief IJCAI 2022
Learning partial correlation graphs and graphical models by covariance queries JMLR 2021
Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021
Structure Learning of Undirected Graphical Models for Count Data JMLR 2021
LEO: Learning Energy-based Models in Factor Graph Optimization CORL 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021
Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution CONLL 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021
Learning-based State Reconstruction for a Scalar Hyperbolic PDE under noisy Lagrangian Sensing L4DC 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews EACL 2021