Bayesian Inference

Word2Sense: Sparse Interpretable Word Embeddings ACL 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019 X-DMM: Fast and Scalable Model Based Text Clustering AAAI 2019 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Approach to Generative Adversarial Imitation Learning NeurIPS 2018 A Bayesian Latent Variable Model of User Preferences with Item Context IJCAI 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A Bayesian Perspective on Generalization and Stochastic Gradient Descent ICLR 2018 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 A Discriminative Latent-Variable Model for Bilingual Lexicon Induction EMNLP 2018 Adversarially Robust Optimization with Gaussian Processes NeurIPS 2018 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NeurIPS 2018 Algorithmic Linearly Constrained Gaussian Processes NeurIPS 2018 Algorithms for the Nearest Assignment Problem IJCAI 2018 Amortized Inference Regularization NeurIPS 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018 An Information-Theoretic Analysis for Thompson Sampling with Many Actions NeurIPS 2018 An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018 A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning CoRL 2018 Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018 A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018