Shah, Amar

10 publications

AAAI 2024 An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes Amar Shah, Federico Mora, Sanjit A. Seshia

IJCAI 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

UAI 2016 Markov Beta Processes for Time Evolving Dictionary Learning Amar Shah, Zoubin Ghahramani

ICML 2016 Pareto Frontier Learning with Expensive Correlated Objectives Amar Shah, Zoubin Ghahramani

ICML 2016 Predictive Entropy Search for Multi-Objective Bayesian Optimization Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah, Ryan Adams

ICML 2016 Unitary Evolution Recurrent Neural Networks Martin Arjovsky, Amar Shah, Yoshua Bengio

ICML 2015 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process Amar Shah, David Knowles, Zoubin Ghahramani

NeurIPS 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah, Zoubin Ghahramani

AISTATS 2014 Student-T Processes as Alternatives to Gaussian Processes Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani

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