| Pac-Bayes Bounds On Variational Tempered Posteriors For Markov Models | 0 | 0.34 | 2021 |
| Community detection over a heterogeneous population of non-aligned networks. | 0 | 0.34 | 2019 |
| Relational Pooling for Graph Representations. | 1 | 0.34 | 2019 |
| Variational Bayesian Methods for Stochastically Constrained System Design Problems | 0 | 0.34 | 2019 |
| Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. | 6 | 0.52 | 2018 |
| The Indian Buffet Hawkes Process To Model Evolving Latent Influences | 0 | 0.34 | 2018 |
| Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. | 0 | 0.34 | 2018 |
| Collapsed variational Bayes for Markov jump processes. | 0 | 0.34 | 2017 |
| Decoupling Homophily And Reciprocity With Latent Space Network Models | 0 | 0.34 | 2017 |
| Markov-modulated Marked Poisson Processes for Check-in Data. | 4 | 0.43 | 2016 |
| Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. | 3 | 0.39 | 2016 |
| A Multitask Point Process Predictive Model | 13 | 0.70 | 2015 |
| Modeling Correlated Arrival Events with Latent Semi-Markov Processes. | 1 | 0.38 | 2014 |
| Dependent Normalized Random Measures. | 12 | 0.75 | 2013 |
| Fast MCMC sampling for Markov jump processes and extensions | 22 | 1.02 | 2013 |
| Real-Time Inference for a Gamma Process Model of Neural Spiking. | 2 | 0.50 | 2013 |
| Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks | 18 | 1.03 | 2012 |
| MCMC for continuous-time discrete-state systems. | 7 | 0.61 | 2012 |
| Repulsive Mixtures. | 0 | 0.34 | 2012 |
| Gaussian process modulated renewal processes. | 11 | 0.83 | 2011 |
| Spatial Normalized Gamma Processes. | 23 | 1.68 | 2009 |
| Retrieved context and the discovery of semantic structure. | 4 | 0.71 | 2007 |
