- L. Cayton. Accelerating nearest neighbor search on manycore
systems. Twenty-Sixth IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2012.
[pdf,
slides
(from MASSIVE 2011), code] (see ADMS paper for GPU implementation details)
- T. Kam-Thong, C-A. Azencott, L. Cayton, B. Pütz, A. Altmann, N. Karbalai, P. Sämann, B. Schölkopf, B. Müller-Myhsok, and K. Borgwardt. GLIDE: GPU-based linear regression for the detection of epistasis. Human Heredity, 2012, 73:220-236.
[pdf]
- L. Cayton. A nearest neighbor data
structure for graphics hardware. ADMS workshop,
2010.
[pdf, slides,
code]
- L. Cayton. Efficient bregman range search. Advances in
Neural Information Processing Systems 22 (NeurIPS), 2009.
[pdf]
- L. Cayton. Fast nearest neighbor retrieval for bregman divergences.
Twenty-Fifth International Conference on Machine Learning
(ICML),
2008.
[pdf, slides, code]
- S. Agarwal, J. Wills, L. Cayton, G. Lanckriet, D. Kriegman,
S. Belongie. Generalized non-metric multidimensional
scaling.
Eleventh International Conference on Artificial Intelligence and
Statistics (AISTATS), 2007.
[pdf]
- L. Cayton and S. Dasgupta. A learning
framework for nearest neighbor search.
Advances in Neural Information Processing Systems 20 (NeurIPS),
2007.
[pdf]
- L. Cayton and S. Dasgupta. Robust Euclidean embedding.
Twenty-Third International Conference on Machine Learning
(ICML), 2006.
[pdf, slides, code]
- L. Cayton, R. Herring, A. Holder, J. Holzer, C. Nightingale,
T. Stohs. Asymptotic sign-solvability, multiple
objective linear programming, and the nonsubstitution theorem.
Mathematical Methods of Operations Reseach, 64: 541-555,
2006.
[link]
- L. Cayton. Algorithms for manifold learning. UCSD tech report CS2008-0923.
[pdf] (research exam from Spring 2005)