Retrieved context and the discovery of semantic structure. - Vinayak A. Rao; Marc W. Howard (NIPS, 2007)

Spatial Normalized Gamma Processes. - Vinayak A. Rao; Yee Whye Teh (NIPS, 2009)

Gaussian process modulated renewal processes. - Vinayak A. Rao; Yee Whye Teh (NIPS, 2011)

Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. - Vinayak A. Rao; Yee Whye Teh (UAI, 2011)

Repulsive Mixtures. - Francesca Petralia; Vinayak A. Rao; David B. Dunson (NIPS, 2012)

MCMC for continuous-time discrete-state systems. - Vinayak A. Rao; Yee Whye Teh (NIPS, 2012)

Dependent Normalized Random Measures. - Changyou Chen; Vinayak A. Rao; Wray L. Buntine; Yee Whye Teh (ICML (3), 2013)

Real-Time Inference for a Gamma Process Model of Neural Spiking. - David E. Carlson; Vinayak A. Rao; Joshua T. Vogelstein; Lawrence Carin (NIPS, 2013)

Fast MCMC sampling for Markov jump processes and extensions. - Vinayak A. Rao; Yee Whye Teh (J. Mach. Learn. Res., 2013)

Modeling Correlated Arrival Events with Latent Semi-Markov Processes. - Wenzhao Lian; Vinayak A. Rao; Brian Eriksson; Lawrence Carin (ICML, 2014)

Hierarchical Infinite Divisibility for Multiscale Shrinkage. - Xin Yuan 002; Vinayak A. Rao; Shaobo Han; Lawrence Carin (IEEE Trans. Signal Process., 2014)

A Multitask Point Process Predictive Model. - Wenzhao Lian; Ricardo Henao; Vinayak A. Rao; Joseph E. Lucas; Lawrence Carin (ICML, 2015)

Markov-modulated Marked Poisson Processes for Check-in Data. - Jiangwei Pan; Vinayak A. Rao; Pankaj K. Agarwal; Alan E. Gelfand (ICML, 2016)

Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. - Xi Tan; Syed A. Z. Naqvi; Yuan (Alan) Qi; Katherine A. Heller; Vinayak A. Rao (UAI, 2016)

Collapsed variational Bayes for Markov jump processes. - Boqian Zhang; Jiangwei Pan; Vinayak A. Rao (NIPS, 2017)

Decoupling Homophily and Reciprocity with Latent Space Network Models. - Jiasen Yang; Vinayak A. Rao; Jennifer Neville (UAI, 2017)

Nested CRP with Hawkes-Gaussian Processes. - Xi Tan; Vinayak A. Rao; Jennifer Neville (AISTATS, 2018)

Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. - Guilherme Gomes; Vinayak A. Rao; Jennifer Neville (ICDM, 2018)

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. - Jiasen Yang; Qiang Liu; Vinayak A. Rao; Jennifer Neville (ICML, 2018)

The Indian Buffet Hawkes Process to Model Evolving Latent Influences. - Xi Tan; Vinayak A. Rao; Jennifer Neville (UAI, 2018)

Variational Bayesian Methods for Stochastically Constrained System Design Problems. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (AABI, 2019)

A Stein-Papangelou Goodness-of-Fit Test for Point Processes. - Jiasen Yang; Vinayak A. Rao; Jennifer Neville (AISTATS, 2019)

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. - Ryan L. Murphy; Balasubramaniam Srinivasan 003; Vinayak A. Rao; Bruno Ribeiro 001 (ICLR (Poster), 2019)

Relational Pooling for Graph Representations. - Ryan L. Murphy; Balasubramaniam Srinivasan 003; Vinayak A. Rao; Bruno Ribeiro 001 (ICML, 2019)

Community detection over a heterogeneous population of non-aligned networks. - Guilherme Gomes; Vinayak A. Rao; Jennifer Neville (CoRR, 2019)

Asymptotic Consistency of Loss-Calibrated Variational Bayes. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (CoRR, 2019)

Asymptotic Consistency of α-Rényi-Approximate Posteriors. - Prateek Jaiswal; Vinayak A. Rao; Harsha Honnappa (J. Mach. Learn. Res., 2020)

Contextual Unsupervised Outlier Detection in Sequences. - Mohamed A. Zahran; Leonardo Teixeira; Vinayak A. Rao; Bruno Ribeiro 001 (CoRR, 2021)

Set Twister for Single-hop Node Classification. - Yangze Zhou; Vinayak A. Rao; Bruno Ribeiro 001 (CoRR, 2021)

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. - Imon Banerjee; Vinayak A. Rao; Harsha Honnappa (Entropy, 2021)

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. - Imon Banerjee; Harsha Honnappa; Vinayak A. Rao (CoRR, 2022)

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (NeurIPS, 2023)

Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (SIAM J. Optim., 2023)