Publications by Trevor Campbell
Submitted
. Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. Submitted;.
. Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;.
In Press
. Truncated random measures. Bernoulli. In Press;.
. Dynamic clustering algorithms via small-variance analysis of Markov chain mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence. In Press;.
2018
. Exchangeable trait allocations. Electronic Journal of Statistics. 2018; 12: 2290–2322.
. Bayesian coreset construction via greedy iterative geodesic ascent. In International Conference on Machine Learning. 2018.
2017
. Efficient global point cloud alignment using Bayesian nonparametric mixtures. In IEEE Conference on Computer Vision and Pattern Recognition. 2017.
2016
. Coresets for scalable Bayesian logistic regression. In Advances in Neural Information Processing Systems. 2016.
. Edge-exchangeable graphs and sparsity. In Advances in Neural Information Processing Systems. 2016.
2015
. Streaming, distributed variational inference for Bayesian nonparametrics. In Advances in Neural Information Processing Systems. 2015.
. Small-variance nonparametric clustering on the hypersphere. In IEEE Conference on Computer Vision and Pattern Recognition. 2015.
. Bayesian nonparametric set construction for robust optimization. In American Control Conference. 2015.
2014
. Approximate decentralized Bayesian inference. In Uncertainty in Artificial Intelligence. 2014.
2013
. Dynamic clustering via asymptotics of the dependent Dirichlet process mixture. In Advances in Neural Information Processing Systems. 2013.
. Multiagent allocation of Markov decision process tasks. In American Control Conference. 2013.