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Publications by Trevor Campbell

Submitted

Huggins J, Campbell T, Kasprzak M, Broderick T. Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;.
Campbell T, Broderick T. Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. Submitted;.

In Press

Campbell T, Huggins J, How J, Broderick T. Truncated random measures. Bernoulli. In Press;.
Campbell T, Kulis B, How J. Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence. In Press;.

2018

Campbell T, Broderick T. Bayesian coreset construction via greedy iterative geodesic ascent. In International Conference on Machine Learning. 2018.
Campbell T, Cai D, Broderick T. Exchangeable trait allocations. Electronic Journal of Statistics. 2018; 12: 2290–2322.

2017

Straub J, Campbell T, How JP, Fisher J. Efficient global point cloud alignment using Bayesian nonparametric mixtures. In IEEE Conference on Computer Vision and Pattern Recognition. 2017.

2016

Huggins J, Campbell T, Broderick T. Coresets for scalable Bayesian logistic regression. In Advances in Neural Information Processing Systems. 2016.
Cai D, Campbell T, Broderick T. Edge-exchangeable graphs and sparsity. In Advances in Neural Information Processing Systems. 2016.

2015

Campbell T, How JP. Bayesian nonparametric set construction for robust optimization. In American Control Conference. 2015.
Campbell T, Straub J, Fisher J, How JP. Streaming, distributed variational inference for Bayesian nonparametrics. In Advances in Neural Information Processing Systems. 2015.
Straub J, Campbell T, How JP, Fisher J. Small-variance nonparametric clustering on the hypersphere. In IEEE Conference on Computer Vision and Pattern Recognition. 2015.

2014

Campbell T, How JP. Approximate decentralized Bayesian inference. In Uncertainty in Artificial Intelligence. 2014.

2013

Campbell T, Johnson L, How JP. Multiagent allocation of Markov decision process tasks. In American Control Conference. 2013.
Campbell T, Liu M, Kulis B, How JP, Carin L. Dynamic clustering via asymptotics of the dependent Dirichlet process mixture. In Advances in Neural Information Processing Systems. 2013.