8 citations · 8 across the 5 of their papers we have counts for
5 papers
Detecting Jumps on a Tree: a Hierarchical Pitman-Yor Model for Evolution of Phenotypic Distributions
Hanxi Sun, Heejung Shim, Vinayak Rao
This work focuses on clustering populations with a hierarchical dependency structure that can be described by a tree. A particular example that is the focus of our work is the phyl…
Marginally Constrained Nonparametric Bayesian Inference through Gaussian Processes
Bingjing Tang, Vinayak Rao
Nonparametric Bayesian models are used routinely as flexible and powerful models of complex data. Many times, a statistician may have additional informative beliefs about data dist…
Set Twister for Single-hop Node Classification
Yangze Zhou, Vinayak Rao, Bruno Ribeiro
Node classification is a central task in relational learning, with the current state-of-the-art hinging on two key principles: (i) predictions are permutation-invariant to the orde…
Repulsive Mixtures
Francesca Petralia, Vinayak Rao, David B. Dunson
Discrete mixture models are routinely used for density estimation and clustering. While conducting inferences on the cluster-specific parameters, current frequentist and Bayesian m…
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Vinayak Rao, Yee Whye Teh
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserved…