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Publications
Conference Papers
R. Kondor and M. Barbosa: Ranking with kernels in Fourier space (COLT 2010) [paper] [supplement]
R. Kondor: A Fourier space algorithm for solving quadratic assignment problems (SODA 2010) [pdf]
R. Kondor, N. Shervashidze and K. M. Borgwardt: The graphlet spectrum (ICML 2009) [pdf]
R. Kondor and K. M. Borgwardt: The skew spectrum of graphs (ICML 2008) [pdf] [ICML video] [C++ code]
R. Kondor, A. Howard and T. Jebara: Multi-object tracking with representations of the symmetric group (AISTATS 2007) [pdf] [Newton video] [AISPDS video]
R. Kondor and T. Jebara: Gaussian and Wishart Hyperkernels (NIPS 2006) [pdf] [bib] [related]
A. Smola and R. Kondor: Kernels and Regularization on Graphs (COLT 2003) [pdf] [bib] [related]
T. Jebara and R. Kondor: Bhattacharyya and Expected Likelihood Kernels (COLT 2003) [pdf] [bib]
R. Kondor and T. Jebara: A Kernel between Sets of Vectors (ICML 2003) [pdf] [errata] [bib] [note]
R. Kondor and J. Lafferty: Diffusion Kernels on Graphs and Other Discrete Input Spaces (ICML 2002) [pdf] [bib] [related]
Journal Papers
S. V. N. Vishwanathan, N. N. Schraudolf, R. Kondor and K. M. Borgwardt: Graph kernels (Journal of Machine Learning Research 11, 2010) [pdf]
A. P. Bartok, M. C. Payne, R. Kondor and G. Csanyi: Gaussian Approximation Potentials: the accuracy of quantum mechanics, without the electrons (Physical Review Letters 104, 2010) [PRL]
T. Jebara, R. Kondor and A. Howard: Probability Product Kernels. (Journal of Machine Learning Research 5, 2004) [pdf]
Preprints
A. P. Bartok, M. C. Payne, R. Kondor and G. Csanyi: Gaussian Approximation Potentials: the accuracy of quantum mechanics, without the electrons (2009) [arXiv]
S. V. N. Vishwanathan, K. M. Borgwardt, R. Kondor, N. N. Schraudolf: Graph kernels (2008) [arXiv]
R. Kondor: The skew spectrum of functions on finite groups and their homogeneous spaces (2007) [pdf] [arXiv]
R. Kondor: A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum (2007) [pdf] [arXiv]
R. Kondor, G. Csanyi, S. E. Ahnert and T. Jebara: Multi-facet learning in Hilbert spaces (2005) [pdf]
Book chapters
R. Kondor: Non-commutative harmonic analysis in multi-object tracking in "Bayesian Time-series Models" ed. D. Barber, A. T. Cemgil and S. Chiappa (Cambridge University Press, in press) [pdf]
R. Kondor and J.-P. Vert: Diffusion Kernels in "Kernel Methods in Computational Biology" ed. B. Scholkopf, K. Tsuda and J.-P. Vert, (The MIT Press, 2004) [pdf] [related]
Patents
G. Csanyi, A. P. Bartok, R. Kondor: International Patent Application PCT/GB2009/001414 filed 5/6/09, publication WO2009/147408 A2 on Gaussian Approximation Potential invention.
Thesis
R. Kondor: Group theoretical methods in machine learning. (unofficial version, last updated May 2008) [pdf]
Software
R. Kondor: SnOB. a C++ library for computing fast Fourier transforms on the symmetric group [SnOB]
Talks
Tutorial on group theoretical methods in machine learing. ICML 2007. [link]
Candidacy exam presentation. December 2004. [pdf]
A Kernel Between Sets of Vectors. ICML 2003. [pdf]
Learning with Kernels on Graphs, Groups and Manifolds. Workshop on Advances in Machine Learning, Montreal, Canada, June 2003. [pdf]
Diffusion Kernel and Friends: inducing kernels from the local structure of feature space. Kernel Methods in Bioinformatics workshop, Berlin, April 2003. [ps]
Kernel Methods on Finite Groups. NIPS 2001 kernels workshop. [pdf]