Bayesian & Probabilistic

Noisy Channel for Low Resource Grammatical Error Correction ACL 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Object Conditioning for Causal Inference UAI 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019 Online sampling from log-concave distributions NeurIPS 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NeurIPS 2019 On the Hardness of Probabilistic Inference Relaxations AAAI 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data AAAI 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models IJCAI 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NeurIPS 2019 Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration CoRL 2019 Parameter elimination in particle Gibbs sampling NeurIPS 2019 Pathwise Derivatives for Multivariate Distributions AISTATS 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 Practical and Consistent Estimation of f-Divergences NeurIPS 2019