Amar Shah

According to our database1, Amar Shah authored at least 17 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Learning to Drive in a Day.
CoRR, 2018

2017
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Markov Beta Processes for Time Evolving Dictionary Learning.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Pareto Frontier Learning with Expensive Correlated Objectives.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Predictive Entropy Search for Multi-objective Bayesian Optimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Unitary Evolution Recurrent Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process.
CoRR, 2015

Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.
CoRR, 2015

Unitary Evolution Recurrent Neural Networks.
CoRR, 2015

Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Student-t Processes as Alternatives to Gaussian Processes.
CoRR, 2014

A framework for detecting unnecessary industrial data in ETL processes.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Student-t Processes as Alternatives to Gaussian Processes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.
CoRR, 2013

Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discovering latent influence in online social activities via shared cascade poisson processes.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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