Discovering latent influence in online social activities via shared cascade poisson processes. - Tomoharu Iwata; Amar Shah 001; Zoubin Ghahramani (KDD, 2013)

Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering. - Amar Shah 001; Zoubin Ghahramani (UAI, 2013)

Student-t Processes as Alternatives to Gaussian Processes. - Amar Shah 001; Andrew Gordon Wilson; Zoubin Ghahramani (AISTATS, 2014)

A framework for detecting unnecessary industrial data in ETL processes. - Philip Woodall; Torben Jess; Mark Harrison; Duncan C. McFarlane; Amar Shah 001; William E. Krechel; Eric Nicks (INDIN, 2014)

An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. - Amar Shah 001; David A. Knowles; Zoubin Ghahramani (ICML, 2015)

Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions. - Amar Shah 001; Zoubin Ghahramani (NIPS, 2015)

An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process. - Amar Shah 001; David A. Knowles; Zoubin Ghahramani (CoRR, 2015)

Unitary Evolution Recurrent Neural Networks. - Martín Arjovsky; Amar Shah 001; Yoshua Bengio (ICML, 2016)

Predictive Entropy Search for Multi-objective Bayesian Optimization. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Amar Shah 001; Ryan P. Adams (ICML, 2016)

Pareto Frontier Learning with Expensive Correlated Objectives. - Amar Shah 001; Zoubin Ghahramani (ICML, 2016)

Markov Beta Processes for Time Evolving Dictionary Learning. - Amar Shah 001; Zoubin Ghahramani (UAI, 2016)

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. - Rowan McAllister; Yarin Gal; Alex Kendall; Mark van der Wilk; Amar Shah 001; Roberto Cipolla; Adrian Weller (IJCAI, 2017)

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 001 (ICRA, 2019)

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 001; Alex Kendall (ICRA, 2020)

Bayesian single- and multi-objective optimisation with nonparametric priors. - Amar Shah 001 (2020)

Recovery of Meteorites Using an Autonomous Drone and Machine Learning. - Robert I. Citron; Peter Jenniskens; Christopher Watkins; Sravanthi Sinha; Amar Shah 001; Chedy Raïssi; Hadrien A. R. Devillepoix; Jim Albers (CoRR, 2021)