50 citations · 115 across the 4 of their papers we have counts for
5 papers
Boosting Variational Inference
Fangjian Guo, Xiangyu Wang, Kai Fan +2
Variational inference (VI) provides fast approximations of a Bayesian posterior in part because it formulates posterior approximation as an optimization problem: to find the closes…
Bounds of memory strength for power-law series
Fangjian Guo, Dan Yang, Zimo Yang +2
Many time series produced by complex systems are empirically found to follow power-law distributions with different exponents . By permuting the independently drawn samples from…
Parallelizing MCMC with Random Partition Trees
Xiangyu Wang, Fangjian Guo, Katherine A. Heller +1
The modern scale of data has brought new challenges to Bayesian inference. In particular, conventional MCMC algorithms are computationally very expensive for large data sets. A pro…
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach +1
We present the Bayesian Echo Chamber, a new Bayesian generative model for social interaction data. By modeling the evolution of people's language usage over time, this model discov…
Predicting link directions via a recursive subgraph-based ranking
Fangjian Guo, Zimo Yang, Tao Zhou
Link directions are essential to the functionality of networks and their prediction is helpful towards a better knowledge of directed networks from incomplete real-world data. We s…