Vinayak A. Rao

Affiliations:
  • Purdue University, Department of Statistics, West Lafayette, IN, USA
  • University College London, Gatsby Computational Neuroscience Unit, UK
  • Syracuse University, Department of Psychology, NY, USA


According to our database1, Vinayak A. Rao authored at least 33 papers between 2007 and 2023.

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Bibliography

2023
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.
SIAM J. Optim., September, 2023

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency.
CoRR, 2022

2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models.
Entropy, 2021

Set Twister for Single-hop Node Classification.
CoRR, 2021

Contextual Unsupervised Outlier Detection in Sequences.
CoRR, 2021

2020
Asymptotic Consistency of α-Rényi-Approximate Posteriors.
J. Mach. Learn. Res., 2020

2019
Asymptotic Consistency of Loss-Calibrated Variational Bayes.
CoRR, 2019

Community detection over a heterogeneous population of non-aligned networks.
CoRR, 2019

Relational Pooling for Graph Representations.
Proceedings of the 36th International Conference on Machine Learning, 2019

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Stein-Papangelou Goodness-of-Fit Test for Point Processes.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Variational Bayesian Methods for Stochastically Constrained System Design Problems.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018
The Indian Buffet Hawkes Process to Model Evolving Latent Influences.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-level Hypothesis Testing for Populations of Heterogeneous Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018

Nested CRP with Hawkes-Gaussian Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Decoupling Homophily and Reciprocity with Latent Space Network Models.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Collapsed variational Bayes for Markov jump processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Markov-modulated Marked Poisson Processes for Check-in Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
A Multitask Point Process Predictive Model.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Hierarchical Infinite Divisibility for Multiscale Shrinkage.
IEEE Trans. Signal Process., 2014

Modeling Correlated Arrival Events with Latent Semi-Markov Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Fast MCMC sampling for Markov jump processes and extensions.
J. Mach. Learn. Res., 2013

Real-Time Inference for a Gamma Process Model of Neural Spiking.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Dependent Normalized Random Measures.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
MCMC for continuous-time discrete-state systems.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Repulsive Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks.
Proceedings of the UAI 2011, 2011

Gaussian process modulated renewal processes.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009
Spatial Normalized Gamma Processes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007
Retrieved context and the discovery of semantic structure.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


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