Bayesian Inference

Wasserstein Variational Inference NeurIPS 2018 Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NeurIPS 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018 A Bayesian Approach to Argument-Based Reasoning for Attack Estimation IJCAI 2017 A Bayesian Data Augmentation Approach for Learning Deep Models NeurIPS 2017 A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations JMLR 2017 A causal framework for explaining the predictions of black-box sequence-to-sequence models EMNLP 2017 Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis Interspeech 2017 Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017 Adaptive Active Hypothesis Testing under Limited Information NeurIPS 2017 Adaptive Bayesian Sampling with Monte Carlo EM NeurIPS 2017 A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data IJCAI 2017 A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI ICML 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017 A Generative Model for Score Normalization in Speaker Recognition Interspeech 2017 A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017 AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NeurIPS 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching NeurIPS 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 A Network Framework for Noisy Label Aggregation in Social Media ACL 2017 An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression Interspeech 2017 Annular Augmentation Sampling AISTATS 2017 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017