Bayesian Inference

Lifted Hinge-Loss Markov Random Fields AAAI 2019 Lifted Message Passing for Hybrid Probabilistic Inference IJCAI 2019 Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019 Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019 Lost in Machine Translation: A Method to Reduce Meaning Loss NAACL 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Meta Architecture Search NeurIPS 2019 Meta Learning for Hyperparameter Optimization in Dialogue System Interspeech 2019 Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019 Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters ICLR 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019 Model-Free IRL Using Maximum Likelihood Estimation AAAI 2019 Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes NeurIPS 2019 Modeling Uncertainty with Hedged Instance Embeddings ICLR 2019 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019 Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019 Model Selection in Bayesian Neural Networks via Horseshoe Priors JMLR 2019 Moment-Based Variational Inference for Markov Jump Processes ICML 2019