Oliver Williams
SENIOR RESEARCHER
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Ollie joined Microsoft Research Silicon Valley in November 2007. Prior to that he was at Microsoft Research Cambridge and a research fellow at Trinity Hall in the University of Cambridge. His interests are in machine learning, computer vision and optimization methods.
Publications
- Oliver Williams and Frank McSherry, Probabilistic Inference and Differential Privacy, in Neural Information Processing Systems (NIPS), MIT Press, December 2010
- Srinidhi Kestur, John D. Davis, and Oliver Williams, BLAS Comparison on FPGA, CPU and GPU, in IEEE Computer Society Symposium on VLSI, IEEE, July 2010
- Timothy Hospedales and Oliver Williams, An Adaptive Machine Director, in Proceedings of the British Machine Vision Conference (2008), August 2008
- Oliver Williams and Andrew Fitzgibbon, Optimizing Matrix Computations for Learning, April 2008
- Joaquin Quiñonero Candela, Edward Snelson, and Oliver Williams, Sensible Priors for Sparse Bayesian Learning, no. MSR-TR-2007-121, September 2007
- Oliver Williams and Andrew Fitzgibbon, Gaussian Process Implicit Surfaces, in Gaussian Processes in Practice, April 2007
- Oliver Williams, A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo, in Advances in Neural Information Processing Systems 19, MIT Press, 2007
- Oliver Williams, Andrew Blake, and Roberto Cipolla, Sparse and Semi-supervised Visual Mapping with the S3GP, in Proc. CVPR, IEEE Computer Society, June 2006
- Oliver Williams, Bayesian Learning for Efficient Visual Inference, September 2005
- Oliver Williams, Andrew Blake, and Roberto Cipolla, Sparse Bayesian Regression for Efficient Visual Tracking, in IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, August 2005
- Oliver Williams, Michael Isard, and John MacCormick, Estimating Disparity and Occlusions in Stereo Video Sequences, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Institute of Electrical and Electronics Engineers, Inc., San Diego, USA, June 2005
- Oliver Williams, Andrew Blake, and Roberto Cipolla, The Variational Ising Classifier (VIC) algorithm for coherently contaminated data, in Advances in Neural Information Processing Systems 17, MIT Press, 2005
- Oliver Williams, Andrew Blake, and Roberto Cipolla, A Sparse Probabilistic Learning Algorithm for Real-Time Tracking, in Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV 2003), IEEE Computer Society, October 2003
- Oliver Williams, Guidance of a Mobile Robot using Computer Vision over a Distributed System, May 2002
