Bayesian & Probabilistic

Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019 Efficient Inference in Multi-task Cox Process Models AISTATS 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NeurIPS 2019 Efficient Search-Based Weighted Model Integration UAI 2019 Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019 End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019 Enhancing Unsupervised Generative Dependency Parser with Contextual Information ACL 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Estimating Convergence of Markov chains with L-Lag Couplings NeurIPS 2019 Estimation of Non-Normalized Mixture Models AISTATS 2019 Evaluating Topic Quality with Posterior Variability EMNLP 2019 Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019 Exact Gaussian Processes on a Million Data Points NeurIPS 2019 Exact Sampling of Directed Acyclic Graphs from Modular Distributions UAI 2019 Exemplar Based Mixture Models with Censored Data ACML 2019 Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition Interspeech 2019 Expressive power of tensor-network factorizations for probabilistic modeling NeurIPS 2019 Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019 Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NeurIPS 2019 Fast Iterative Combinatorial Auctions via Bayesian Learning AAAI 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019