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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

Generating and Exploiting Probabilistic Monocular Depth Estimates CVPR 2020 Generating Narrative Text in a Switching Dynamical System CoNLL 2020 Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks AAAI 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020 GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Graphical continuous Lyapunov models UAI 2020 Graphical Models Meet Bandits: A Variational Thompson Sampling Approach ICML 2020 Greedy inference with structure-exploiting lazy maps NeurIPS 2020 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models COLT 2020 Hawkesian Graphical Event Models PGM 2020 HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting CVPR 2020 Healing Products of Gaussian Process Experts ICML 2020 Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series UAI 2020 Hierarchical Dependency Constrained Averaged One-Dependence Estimators Classifiers for Hierarchical Feature Spaces PGM 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NeurIPS 2020 Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis Interspeech 2020 How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020 ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NeurIPS 2020 Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020 Identifiability of Additive Noise Models Using Conditional Variances JMLR 2020 Identifying signal and noise structure in neural population activity with Gaussian process factor models NeurIPS 2020 Implicit Generative Modeling for Efficient Exploration ICML 2020 Improved Model for Vocal Folds with a Polyp with Potential Application Interspeech 2020