Search Machine Learning Repository:
All publications by Emily Fox
authors venues years



A Complete Recipe for Stochastic Gradient MCMC
Yi-an Ma, Tianqi Chen and Emily Fox
Advances in Neural Information Processing Systems 28, 2015


Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily Fox and Carlos Guestrin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning the Parameters of Determinantal Point Process Kernels
Raja H. Affandi, Emily Fox, Ryan Adams and Ben Taskar
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A. Gillenwater, Alex Kulesza, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 27, 2014


Stochastic variational inference for hidden Markov models
Nicholas Foti, Jason Xu, Dillon Laird and Emily Fox
Advances in Neural Information Processing Systems 27, 2014


Approximate Inference in Continuous Determinantal Processes
Raja H. Affandi, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 26, 2013