Amar Shah

22 papers A* 8A 3C 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Recovery of Meteorites Using an Autonomous Drone and Machine Learning.
CoRR
Robert I. Citron, Peter Jenniskens, Christopher Watkins, Sravanthi Sinha, Amar Shah, Chedy Raïssi, Hadrien A. R. Devillepoix, Jim Albers
2020 — —
Bayesian single- and multi-objective optimisation with nonparametric priors.
Amar Shah
2020 A* conf
Urban Driving with Conditional Imitation Learning.
ICRA
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
2019 A* conf
Learning to Drive in a Day.
ICRA
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
2019 J jnl
Urban Driving with Conditional Imitation Learning.
CoRR
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
2018 J jnl
Learning to Drive in a Day.
CoRR
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
2017 A* conf
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning.
IJCAI
Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller
2016 A conf
Markov Beta Processes for Time Evolving Dictionary Learning.
UAI
Amar Shah, Zoubin Ghahramani
2016 A* conf
Pareto Frontier Learning with Expensive Correlated Objectives.
ICML
Amar Shah, Zoubin Ghahramani
2016 A* conf
Predictive Entropy Search for Multi-objective Bayesian Optimization.
ICML
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Amar Shah, Ryan P. Adams
2016 A* conf
Unitary Evolution Recurrent Neural Networks.
ICML
Martín Arjovsky, Amar Shah, Yoshua Bengio
2015 J jnl
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process.
CoRR
Amar Shah, David A. Knowles, Zoubin Ghahramani
2015 A* conf
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process.
ICML
Amar Shah, David A. Knowles, Zoubin Ghahramani
2015 — conf
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.
NIPS
Amar Shah, Zoubin Ghahramani
2015 J jnl
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.
CoRR
Amar Shah, Zoubin Ghahramani
2015 J jnl
Unitary Evolution Recurrent Neural Networks.
CoRR
Martín Arjovsky, Amar Shah, Yoshua Bengio
2014 C conf
A framework for detecting unnecessary industrial data in ETL processes.
INDIN
Philip Woodall, Torben Jess, Mark Harrison, Duncan C. McFarlane, Amar Shah, William E. Krechel, Eric Nicks
2014 A conf
Student-t Processes as Alternatives to Gaussian Processes.
AISTATS
Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani
2014 J jnl
Student-t Processes as Alternatives to Gaussian Processes.
CoRR
Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani
2013 A conf
Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.
UAI
Amar Shah, Zoubin Ghahramani
2013 J jnl
Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.
CoRR
Amar Shah, Zoubin Ghahramani
2013 A* conf
Discovering latent influence in online social activities via shared cascade poisson processes.
KDD
Tomoharu Iwata, Amar Shah, Zoubin Ghahramani