Vinayak A. Rao

41 papers A* 7A 6Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural Diffusion Intensity Models for Point Process Data. CoRR Xinlong Du, Harsha Honnappa, Vinayak A. Rao
2023	J	`jnl`	Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. SIAM J. Optim. Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2023	A*	`conf`	On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making. NeurIPS Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2022	J	`jnl`	Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. CoRR Imon Banerjee, Harsha Honnappa, Vinayak A. Rao
2021	J	`jnl`	Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. CoRR Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2021	J	`jnl`	Contextual Unsupervised Outlier Detection in Sequences. CoRR Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro
2021	J	`jnl`	PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy Imon Banerjee, Vinayak A. Rao, Harsha Honnappa
2021	J	`jnl`	Set Twister for Single-hop Node Classification. CoRR Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro
2020	J	`jnl`	Asymptotic Consistency of α-Rényi-Approximate Posteriors. J. Mach. Learn. Res. Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
2020	J	`jnl`	Variational Bayesian Methods for Stochastically Constrained System Design Problems. CoRR Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2019	A	`conf`	A Stein-Papangelou Goodness-of-Fit Test for Point Processes. AISTATS Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2019	J	`jnl`	Asymptotic Consistency of $α-$Rényi-Approximate Posteriors. CoRR Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
2019	J	`jnl`	Asymptotic Consistency of Loss-Calibrated Variational Bayes. CoRR Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2019	J	`jnl`	Community detection over a heterogeneous population of non-aligned networks. CoRR Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2019	—	`conf`	Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. ICLR (Poster) Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2019	A*	`conf`	Relational Pooling for Graph Representations. ICML Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2019	J	`jnl`	Relational Pooling for Graph Representations. CoRR Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2019	—	`conf`	Variational Bayesian Methods for Stochastically Constrained System Design Problems. AABI Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2018	A*	`conf`	Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. ICML Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. CoRR Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2018	A*	`conf`	Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. ICDM Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Multi-level hypothesis testing for populations of heterogeneous networks. CoRR Guilherme Gomes, Vinayak A. Rao, Jennifer Neville
2018	A	`conf`	Nested CRP with Hawkes-Gaussian Processes. AISTATS Xi Tan, Vinayak A. Rao, Jennifer Neville
2018	A	`conf`	The Indian Buffet Hawkes Process to Model Evolving Latent Influences. UAI Xi Tan, Vinayak A. Rao, Jennifer Neville
2017	—	`conf`	Collapsed variational Bayes for Markov jump processes. NIPS Boqian Zhang, Jiangwei Pan, Vinayak A. Rao
2017	A	`conf`	Decoupling Homophily and Reciprocity with Latent Space Network Models. UAI Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2016	A	`conf`	Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. UAI Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao
2016	A*	`conf`	Markov-modulated Marked Poisson Processes for Check-in Data. ICML Jiangwei Pan, Vinayak A. Rao, Pankaj K. Agarwal, Alan E. Gelfand
2015	A*	`conf`	A Multitask Point Process Predictive Model. ICML Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin
2014	J	`jnl`	Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. Xin Yuan, Vinayak A. Rao, Shaobo Han, Lawrence Carin
2014	A*	`conf`	Modeling Correlated Arrival Events with Latent Semi-Markov Processes. ICML Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin
2013	—	`conf`	Dependent Normalized Random Measures. ICML (3) Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh
2013	J	`jnl`	Fast MCMC sampling for Markov jump processes and extensions. J. Mach. Learn. Res. Vinayak A. Rao, Yee Whye Teh
2013	—	`conf`	Real-Time Inference for a Gamma Process Model of Neural Spiking. NIPS David E. Carlson, Vinayak A. Rao, Joshua T. Vogelstein, Lawrence Carin
2012	J	`jnl`	Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks CoRR Vinayak A. Rao, Yee Whye Teh
2012	—	`conf`	MCMC for continuous-time discrete-state systems. NIPS Vinayak A. Rao, Yee Whye Teh
2012	—	`conf`	Repulsive Mixtures. NIPS Francesca Petralia, Vinayak A. Rao, David B. Dunson
2011	A	`conf`	Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. UAI Vinayak A. Rao, Yee Whye Teh
2011	—	`conf`	Gaussian process modulated renewal processes. NIPS Vinayak A. Rao, Yee Whye Teh
2009	—	`conf`	Spatial Normalized Gamma Processes. NIPS Vinayak A. Rao, Yee Whye Teh
2007	—	`conf`	Retrieved context and the discovery of semantic structure. NIPS Vinayak A. Rao, Marc W. Howard