approximate inference

Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-In-The-Blank Image Captioning CVPR 2017 Enabling Robots to Communicate Their Objectives RSS 2017 Information Projection and Approximate Inference for Structured Sparse Variables AISTATS 2017 Local Perturb-and-MAP for Structured Prediction AISTATS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Tensor Belief Propagation ICML 2017 Unbounded cache model for online language modeling with open vocabulary NeurIPS 2017 Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016 Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016 Bidirectional Helmholtz Machines ICML 2016 Blending Learning and Inference in Conditional Random Fields JMLR 2016 Chained Gaussian Processes AISTATS 2016 Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016 Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016 On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016 Survey Propagation beyond Constraint Satisfaction Problems AISTATS 2016 Synthesis of MCMC and Belief Propagation NeurIPS 2016 The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016 Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Adaptive Belief Propagation ICML 2015 A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015