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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

Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
Bayesian Attention Modules NIPS 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
BayReL: Bayesian Relational Learning for Multi-omics Data Integration NIPS 2020
Nonparametric graphical model for counts JMLR 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020
Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020
A Multi-Hypothesis Approach to Color Constancy CVPR 2020
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence CVPR 2020
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020
Switching Poisson Gamma Dynamical Systems IJCAI 2020
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020
Deep active inference agents using Monte-Carlo methods NIPS 2020
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift AAAI 2020
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020