Bayesian Inference

Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NeurIPS 2020 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020 An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CoNLL 2020 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 An Expectation Maximisation Algorithm for Automated Cognate Detection CoNLL 2020 An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020 A Non-Asymptotic Analysis for Stein Variational Gradient Descent NeurIPS 2020 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 A Nonparametric Off-Policy Policy Gradient AISTATS 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 Approximate Inference with Wasserstein Gradient Flows AISTATS 2020 Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry IJCAI 2020 Approximation Based Variance Reduction for Reparameterization Gradients NeurIPS 2020 A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction ACL 2020 A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020 A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations PGM 2020 A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty RSS 2020 Asymptotically Optimal Exact Minibatch Metropolis-Hastings NeurIPS 2020 Asymptotic Consistency of α-Rényi-Approximate Posteriors JMLR 2020 Asynchronous Gibbs Sampling AISTATS 2020 A Theoretical Case Study of Structured Variational Inference for Community Detection AISTATS 2020 AutoBSS: An Efficient Algorithm for Block Stacking Style Search NeurIPS 2020