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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Diagnostics for conditional density models and Bayesian inference algorithms UAI 2021
DeepGEM: Generalized Expectation-Maximization for Blind Inversion NIPS 2021
Conformal Bayesian Computation NIPS 2021
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions UAI 2021
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis INTERSPEECH 2020
Identifying signal and noise structure in neural population activity with Gaussian process factor models NIPS 2020
Nonparametric graphical model for counts JMLR 2020
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion JMLR 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Quantile Graphical Models: a Bayesian Approach JMLR 2020
Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020
Lifted Hybrid Variational Inference IJCAI 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020
Structured Probabilistic End-to-End Learning from Crowds IJCAI 2020
Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting ICML 2020
Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020
Stochastic Differential Equations with Variational Wishart Diffusions ICML 2020
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models ICML 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020