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Fabian Wauthier

Post-doctoral researcher


Work summary

I did my PhD with Prof. Michael Jordan at UC Berkeley, working on both theoretical and practical aspects of learning from subsampled data. I am now a post-doc working with Prof. Peter Donnelly on statistical genetics.

Publications

F.L. Wauthier, N. Jojic and M.I. Jordan. A comparative framework for preconditioned Lasso Algorithms. In Advances in Neural Information Processing Systems (NIPS) 25, 2013.

F.L. Wauthier, M.I. Jordan and N. Jojic. Efficient ranking from pairwise comparisons. International Conference on Machine Learning (ICML), Atlanta, USA, June 2013.

F.L. Wauthier, N. Jojic and M.I. Jordan. Active spectral clustering via iterative uncertainty reduction. 18th ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), Beijing, China, 2012.

F.L. Wauthier and M.I. Jordan. Bayesian bias mitigation for crowdsourcing. In J. Shawe-Taylor, R. S. Zemel, P. Bartlett, F. C. N. Pereira and K.Q. Weinberger (Eds.) Advances in Neural Information Processing Systems (NIPS) 24, 2012.

F.L. Wauthier, M.I. Jordan and N. Jojic. Nonparametric combinatorial sequence models. J Computational Biol. 2011.

F.L. Wauthier, M.I. Jordan and N. Jojic. Nonparametric combinatorial sequence models. In 15th Annual International Conference on Research in Computational Molecular Biology (RECOMB), Vancouver, BC, 2011.

F.L. Wauthier and M.I. Jordan. Heavy-tailed process priors for selective shrinkage. In J. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel and A. Culotta (Eds.) Advances in Neural Information Processing Systems (NIPS) 23, 2011.