Bayesian & Probabilistic

Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020 Discriminative Non-Parametric Learning of Arithmetic Circuits PGM 2020 Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model IJCAI 2020 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation ICML 2020 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020 Diversified Bayesian Nonnegative Matrix Factorization AAAI 2020 Diversified Interactive Recommendation with Implicit Feedback AAAI 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NeurIPS 2020 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020 Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020 Dual Formulation of the Chordal Graph Conjecture PGM 2020 Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020 Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning NeurIPS 2020 Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NeurIPS 2020 Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020 Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020 Empirical Priors for Prediction in Sparse High-dimensional Linear Regression JMLR 2020 Enriched mixtures of generalised Gaussian process experts AISTATS 2020