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Bayesian Inference

4,821 papers

Papers per year

Papers

State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization ICML 2020
Variance Reduction in Stochastic Particle-Optimization Sampling ICML 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020
Influenza Forecasting Framework based on Gaussian Processes ICML 2020
Order-Dependent Event Models for Agent Interactions IJCAI 2020
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering IJCAI 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020
Interpretable Models for Understanding Immersive Simulations IJCAI 2020
Scalable Gaussian Process Regression Networks IJCAI 2020
Mixed-Variable Bayesian Optimization IJCAI 2020
General Purpose MRF Learning with Neural Network Potentials IJCAI 2020
Crowdsourcing with Multiple-Source Knowledge Transfer IJCAI 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry IJCAI 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract) IJCAI 2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020