Bayesian & Probabilistic

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 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation CVPR 2018 An Empirical Study of Methods for SPN Learning and Inference PGM 2018 An Estimation and Analysis Framework for the Rasch Model ICML 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018 A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets PGM 2018 A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 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 A Probabilistic Annotation Model for Crowdsourcing Coreference EMNLP 2018 A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 A Stochastic Decoder for Neural Machine Translation ACL 2018 A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NeurIPS 2018 Automating Bayesian optimization with Bayesian optimization NeurIPS 2018 Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CoRL 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018