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ORCIDVinayak A. Rao
Person information
- affiliation: Purdue University, Department of Statistics, West Lafayette, IN, USA
- affiliation: University College London, Gatsby Computational Neuroscience Unit, UK
- affiliation: Syracuse University, Department of Psychology, NY, USA
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Journal Articles
- 2023
[j5]Prateek Jaiswal, Harsha Honnappa
, Vinayak A. Rao:
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. SIAM J. Optim. 33(3): 1968-1995 (2023)- 2021
- [j4]Imon Banerjee, Vinayak A. Rao, Harsha Honnappa:
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. Entropy 23(3): 313 (2021) - 2020
- [j3]Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa:
Asymptotic Consistency of α-Rényi-Approximate Posteriors. J. Mach. Learn. Res. 21: 156:1-156:42 (2020) - 2014
- [j2]Xin Yuan, Vinayak A. Rao, Shaobo Han, Lawrence Carin:
Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. 62(17): 4363-4374 (2014) - 2013
- [j1]Vinayak A. Rao, Yee Whye Teh:
Fast MCMC sampling for Markov jump processes and extensions. J. Mach. Learn. Res. 14(1): 3295-3320 (2013)
Conference and Workshop Papers
- 2023
- [c23]Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making. NeurIPS 2023 - 2019
- [c22]Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Variational Bayesian Methods for Stochastically Constrained System Design Problems. AABI 2019: 1-12 - [c21]Jiasen Yang, Vinayak A. Rao, Jennifer Neville:
A Stein-Papangelou Goodness-of-Fit Test for Point Processes. AISTATS 2019: 226-235 - [c20]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. ICLR (Poster) 2019 - [c19]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. ICML 2019: 4663-4673 - 2018
- [c18]Xi Tan, Vinayak A. Rao, Jennifer Neville:
Nested CRP with Hawkes-Gaussian Processes. AISTATS 2018: 1289-1298 - [c17]Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. ICDM 2018: 977-982 - [c16]Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville:
Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. ICML 2018: 5557-5566 - [c15]Xi Tan, Vinayak A. Rao, Jennifer Neville:
The Indian Buffet Hawkes Process to Model Evolving Latent Influences. UAI 2018: 795-804 - 2017
- [c14]Boqian Zhang, Jiangwei Pan, Vinayak A. Rao:
Collapsed variational Bayes for Markov jump processes. NIPS 2017: 3749-3757 - [c13]Jiasen Yang, Vinayak A. Rao, Jennifer Neville:
Decoupling Homophily and Reciprocity with Latent Space Network Models. UAI 2017 - 2016
- [c12]Jiangwei Pan, Vinayak A. Rao, Pankaj K. Agarwal, Alan E. Gelfand:
Markov-modulated Marked Poisson Processes for Check-in Data. ICML 2016: 2244-2253 - [c11]Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao:
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. UAI 2016 - 2015
- [c10]Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin:
A Multitask Point Process Predictive Model. ICML 2015: 2030-2038 - 2014
- [c9]Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin:
Modeling Correlated Arrival Events with Latent Semi-Markov Processes. ICML 2014: 396-404 - 2013
- [c8]Changyou Chen, Vinayak A. Rao, Wray L. Buntine, Yee Whye Teh:
Dependent Normalized Random Measures. ICML (3) 2013: 969-977 - [c7]David E. Carlson, Vinayak A. Rao, Joshua T. Vogelstein, Lawrence Carin:
Real-Time Inference for a Gamma Process Model of Neural Spiking. NIPS 2013: 2805-2813 - 2012
- [c6]Vinayak A. Rao, Yee Whye Teh:
MCMC for continuous-time discrete-state systems. NIPS 2012: 710-718 - [c5]Francesca Petralia, Vinayak A. Rao, David B. Dunson:
Repulsive Mixtures. NIPS 2012: 1898-1906 - 2011
- [c4]Vinayak A. Rao, Yee Whye Teh:
Gaussian process modulated renewal processes. NIPS 2011: 2474-2482 - [c3]Vinayak A. Rao, Yee Whye Teh:
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. UAI 2011: 619-626 - 2009
- [c2]Vinayak A. Rao, Yee Whye Teh:
Spatial Normalized Gamma Processes. NIPS 2009: 1554-1562 - 2007
- [c1]Vinayak A. Rao, Marc W. Howard:
Retrieved context and the discovery of semantic structure. NIPS 2007: 1193-1200
Informal and Other Publications
- 2022
- [i12]Imon Banerjee, Harsha Honnappa, Vinayak A. Rao:
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. CoRR abs/2211.07092 (2022) - 2021
- [i11]Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. CoRR abs/2106.12199 (2021) - [i10]Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro:
Contextual Unsupervised Outlier Detection in Sequences. CoRR abs/2111.03808 (2021) - [i9]Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro:
Set Twister for Single-hop Node Classification. CoRR abs/2112.09752 (2021) - 2020
- [i8]Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Variational Bayesian Methods for Stochastically Constrained System Design Problems. CoRR abs/2001.01404 (2020) - 2019
- [i7]Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa:
Asymptotic Consistency of $α-$Rényi-Approximate Posteriors. CoRR abs/1902.01902 (2019) - [i6]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. CoRR abs/1903.02541 (2019) - [i5]Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Community detection over a heterogeneous population of non-aligned networks. CoRR abs/1904.05332 (2019) - [i4]Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao:
Asymptotic Consistency of Loss-Calibrated Variational Bayes. CoRR abs/1911.01288 (2019) - 2018
- [i3]Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Multi-level hypothesis testing for populations of heterogeneous networks. CoRR abs/1809.02512 (2018) - [i2]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. CoRR abs/1811.01900 (2018) - 2012
- [i1]Vinayak A. Rao, Yee Whye Teh:
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks. CoRR abs/1202.3760 (2012)
Coauthor Index
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