Amar Shah

According to our database, Amar Shah authored at least 16 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Recovery of Meteorites Using an Autonomous Drone and Machine Learning.

Robert I. Citron, Peter Jenniskens, Christopher Watkins, Sravanthi Sinha, Amar Shah, Chedy Raïssi, Hadrien A. R. Devillepoix, Jim Albers

CoRR, 2021

2020

Bayesian single- and multi-objective optimisation with nonparametric priors.

Amar Shah

PhD thesis, 2020

Urban Driving with Conditional Imitation Learning.

Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning to Drive in a Day.

Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah

Proceedings of the International Conference on Robotics and Automation, 2019

2017

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning.

Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Markov Beta Processes for Time Evolving Dictionary Learning.

Amar Shah, Zoubin Ghahramani

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Pareto Frontier Learning with Expensive Correlated Objectives.

Amar Shah, Zoubin Ghahramani

Proceedings of the 33nd International Conference on Machine Learning, 2016

Predictive Entropy Search for Multi-objective Bayesian Optimization.

Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah, Ryan P. Adams

Proceedings of the 33nd International Conference on Machine Learning, 2016

Unitary Evolution Recurrent Neural Networks.

Martín Arjovsky, Amar Shah, Yoshua Bengio

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

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

Amar Shah, David A. Knowles, Zoubin Ghahramani

CoRR, 2015

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

Amar Shah, Zoubin Ghahramani

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.

Amar Shah, David A. Knowles, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

A framework for detecting unnecessary industrial data in ETL processes.

Philip Woodall, Torben Jess, Mark Harrison, Duncan C. McFarlane, Amar Shah, William E. Krechel, Eric Nicks

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Student-t Processes as Alternatives to Gaussian Processes.

Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani

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.

Amar Shah, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discovering latent influence in online social activities via shared cascade poisson processes.

Tomoharu Iwata, Amar Shah, Zoubin Ghahramani

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013