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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Identifying Norms from Observation Using MCMC Sampling IJCAI 2021
Antipodes of Label Differential Privacy: PATE and ALIBI NIPS 2021
q-Paths: Generalizing the geometric annealing path using power means UAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics NIPS 2021
Impression learning: Online representation learning with synaptic plasticity NIPS 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NIPS 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NIPS 2021
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract) AAAI 2021
A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021
Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021
STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021
No-regret approximate inference via Bayesian optimisation UAI 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021
Type-augmented Relation Prediction in Knowledge Graphs AAAI 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020
Inferring learning rules from animal decision-making NIPS 2020
The Boomerang Sampler ICML 2020
Involutive MCMC: a Unifying Framework ICML 2020
A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice NIPS 2020