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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

The Boomerang Sampler ICML 2020
A Bayesian Perspective on Training Speed and Model Selection NIPS 2020
Uncertainty Quantification for Sparse Deep Learning AISTATS 2020
Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020
Bayesian Robust Optimization for Imitation Learning NIPS 2020
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NIPS 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Bayesian Multi-type Mean Field Multi-agent Imitation Learning NIPS 2020
Domain Adaptation as a Problem of Inference on Graphical Models NIPS 2020
Particle Filter Recurrent Neural Networks AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Towards Scalable Bayesian Learning of Causal DAGs NIPS 2020
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020
Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo NIPS 2020
Asymptotically Optimal Exact Minibatch Metropolis-Hastings NIPS 2020
Matrix Inference and Estimation in Multi-Layer Models NIPS 2020
Distortion estimates for approximate Bayesian inference UAI 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks UAI 2020
Multiplicative Gaussian Particle Filter AISTATS 2020
Log-Linear Reformulation of the Noisy Channel Model for Document-Level Neural Machine Translation EMNLP 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NIPS 2020