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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Large-Scale Stochastic Sampling from the Probability Simplex NIPS 2018
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NIPS 2018
Query Complexity of Bayesian Private Learning NIPS 2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs NIPS 2018
Deep Poisson gamma dynamical systems NIPS 2018
Representations of Bayesian networks by low-rank models PGM 2018
Naive Bayesian Classifiers with Extreme Probability Features PGM 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
Multi-way Interacting Regression via Factorization Machines NIPS 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017
Bayesian Tensor Regression JMLR 2017
Bayesian Network Learning via Topological Order JMLR 2017
Poisson Random Fields for Dynamic Feature Models JMLR 2017
Discriminative Bayesian Nonparametric Clustering IJCAI 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices EACL 2017
Speech Enhancement Using Bayesian Wavenet INTERSPEECH 2017