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- Willie Neiswanger, Chong Wang, Eric P. Xing
- UAI
- 2014

Communication costs, resulting from synchronization requirements during learning, can greatly slow down many parallel machine learning algorithms. In this paper, we present a parallel Markov chainâ€¦ (More)

- Willie Neiswanger, Frank D. Wood, Eric P. Xing
- AISTATS
- 2014

This paper explores how to find, track, and learn models of arbitrary objects in a video without a predefined method for object detection. We present a model that localizes objects via unsupervisedâ€¦ (More)

Bayesian Optimisation (BO) refers to a class of methods for global optimisation of a function f which is only accessible via point evaluations. It is typically used in settings where f is expensiveâ€¦ (More)

- Willie Neiswanger, Frank D. Wood
- ArXiv
- 2012

This paper proposes a technique for the unsupervised detection and tracking of arbitrary objects in videos. It is intended to reduce the need for detection and localization methods tailored toâ€¦ (More)

We study the problem of distribution to real regression, where one aims to regress a mapping f that takes in a distribution input covariate P âˆˆ I (for a non-parametric family of distributions I) andâ€¦ (More)

We provide a self-contained convergence proof in this section. The skeleton of our convergence proof follow closely from Lacoste-Julien et al. (2013) and Jaggi (2013). There are a few subtleâ€¦ (More)

We analyze the problem of regression when both input covariates and output responses are functions from a nonparametric function class. Function to function regression (FFR) covers a large range ofâ€¦ (More)

- Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing
- UAI
- 2014

Out of the many potential factors that determine which links form in a document citation network, two in particular are of high importance: first, a document may be cited based on its subjectâ€¦ (More)

- Willie Neiswanger, Chong Wang, Eric P. Xing
- ArXiv
- 2015

We develop a parallel variational inference (VI) procedure for use in data-distributed settings, where each machine only has access to a subset of data and runs VI independently, withoutâ€¦ (More)

- FranÃ§ois Caron, Willie Neiswanger, Frank D. Wood, Arnaud Doucet, Manuel Davy
- Journal of Machine Learning Research
- 2017

This article introduces a class of first-order stationary time-varying Pitman-Yor processes. Subsuming our construction of time-varying Dirichlet processes presented in (Caron et al., 2007), theseâ€¦ (More)