| Variational refinement for importance sampling using the forward Kullback-Leibler divergence. | 0 | 0.34 | 2021 |
| Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors | 0 | 0.34 | 2020 |
| Analyzing the role of model uncertainty for electronic health records. | 3 | 0.44 | 2020 |
| Reconciling meta-learning and continual learning with online mixtures of tasks | 1 | 0.35 | 2019 |
| Learning Root Source with Marked Multivariate Hawkes Processes. | 0 | 0.34 | 2018 |
| Online gradient-based mixtures for transfer modulation in meta-learning. | 1 | 0.36 | 2018 |
| InverseNet: Solving Inverse Problems with Splitting Networks. | 1 | 0.37 | 2017 |
| Machine Learning for Healthcare Data. | 0 | 0.34 | 2017 |
| Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier. | 2 | 0.37 | 2017 |
| Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes. | 0 | 0.34 | 2017 |
| An inner-loop free solution to inverse problems using deep neural networks. | 4 | 0.43 | 2017 |
| An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection. | 6 | 0.45 | 2017 |
| An inner-loop free solution to inverse problems using deep neural networks. | 0 | 0.34 | 2017 |
| Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease. | 3 | 0.46 | 2016 |
| Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data. | 0 | 0.34 | 2016 |
| A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. | 2 | 0.37 | 2016 |
| Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis | 0 | 0.34 | 2016 |
| Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. | 3 | 0.39 | 2016 |
| The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. | 8 | 0.57 | 2015 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | 10 | 0.56 | 2015 |
| Parallelizing MCMC with Random Partition Trees | 7 | 0.54 | 2015 |
| Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data | 6 | 0.49 | 2015 |
| The Bayesian Echo Chamber: Modeling Influence in Conversations. | 1 | 0.40 | 2014 |
| Growing a list. | 7 | 0.55 | 2013 |
| Modelling Reciprocating Relationships with Hawkes Processes. | 46 | 2.69 | 2012 |
| Modeling infection with multi-agent dynamics | 8 | 0.95 | 2012 |
| Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . | 3 | 0.39 | 2012 |
| Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. | 5 | 0.69 | 2012 |
| Graph-Coupled HMMs for Modeling the Spread of Infection | 10 | 0.63 | 2012 |
| Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning | 0 | 0.34 | 2011 |
| Testing a Bayesian Measure of Representativeness Using a Large Image Database. | 4 | 0.48 | 2011 |
| Bayesian and L1 Approaches to Sparse Unsupervised Learning | 8 | 0.80 | 2011 |
| Bayesian Rose Trees. | 0 | 0.34 | 2010 |
| The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling | 61 | 2.92 | 2010 |
| An Alternative Prior Process for Nonparametric Bayesian Clustering | 0 | 0.34 | 2010 |
| Tree-Based Inference for Dirichlet Process Mixtures | 0 | 0.34 | 2009 |
| Ranking relations using analogies in biological and information networks | 3 | 0.40 | 2009 |
| R/BHC: fast Bayesian hierarchical clustering for microarray data. | 25 | 0.54 | 2009 |
| Hierarchical Learning of Dimensional Biases in Human Categorization. | 1 | 0.43 | 2009 |
| Infinite Hierarchical Hidden Markov Models | 0 | 0.34 | 2009 |
| Tree-Based Inference for Dirichlet Process Mixtures | 0 | 0.34 | 2009 |
| Infinite Hierarchical Hidden Markov Models | 9 | 0.76 | 2009 |
| Bayesian Exponential Family PCA | 15 | 1.33 | 2008 |
| Statistical models for partial membership | 7 | 1.21 | 2008 |
| A Nonparametric Bayesian Approach to Modeling Overlapping Clusters | 28 | 2.19 | 2007 |
| A Nonparametric Bayesian Approach to Modeling Overlapping Clusters | 0 | 0.34 | 2007 |
| Analogical Reasoning with Relational Bayesian Sets | 10 | 0.89 | 2007 |
| Analogical Reasoning with Relational Bayesian Sets | 0 | 0.34 | 2007 |
| A Simple Bayesian Framework for Content-Based Image Retrieval | 15 | 0.76 | 2006 |
| A comparative evaluation of two algorithms for Windows Registry Anomaly Detection | 25 | 1.28 | 2005 |
