Publications by Trevor Campbell
Submitted
Scalable Gaussian process inference with finite-data mean and variance guarantees. arXiv:1806.10234. Submitted;. .
Automated scalable Bayesian inference via Hilbert coresets. arXiv:1710.05053. 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
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. .
Streaming, distributed variational inference for Bayesian nonparametrics. In Advances in Neural Information Processing Systems. 2015. .
2014
Approximate decentralized Bayesian inference. In Uncertainty in Artificial Intelligence. 2014. .
2013
Multiagent allocation of Markov decision process tasks. In American Control Conference. 2013. .
Dynamic clustering via asymptotics of the dependent Dirichlet process mixture. In Advances in Neural Information Processing Systems. 2013. .