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Probabilistic Modeling

2,599 papers

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Papers

Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ICML 2019
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning ICML 2019
Rotation Invariant Householder Parameterization for Bayesian PCA ICML 2019
Tensor Variable Elimination for Plated Factor Graphs ICML 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019
Discovering Context Effects from Raw Choice Data ICML 2019
Replica Conditional Sequential Monte Carlo ICML 2019
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
Distribution calibration for regression ICML 2019
Faster Attend-Infer-Repeat with Tractable Probabilistic Models ICML 2019
Predicate Exchange: Inference with Declarative Knowledge ICML 2019
Discovering Latent Covariance Structures for Multiple Time Series ICML 2019
Metropolis-Hastings Generative Adversarial Networks ICML 2019
Model Comparison for Semantic Grouping ICML 2019
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019
Graph Convolutional Gaussian Processes ICML 2019
Moment-Based Variational Inference for Markov Jump Processes ICML 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis ICML 2019
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation ICML 2019
Dirichlet Simplex Nest and Geometric Inference ICML 2019
Random Function Priors for Correlation Modeling ICML 2019
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems IJCAI 2019
Stratified Evidence Logics IJCAI 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019