Youngmin Cho
Dept of CSE
UC San Diego

I joined Google in 2012. My PhD advisor was Prof. Lawrence Saul.
CV
Publications
A. Senior, Y. Cho, and J. Weston (2012). Learning improved linear transforms for speech recognition. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP12), to appear. [pdf] 
Y. Cho and L. K. Saul (2012). Nonnegative matrix factorization for semisupervised dimensionality reduction. submitted. [arxiv] 
Y. Cho and L. K. Saul (2012). Analysis and extension of arccosine kernels for large margin classification. Technical Report CS20120972, Department of Computer Science and Engineering, University of California, San Diego. [pdf] 
D. J. Hu, L. van der Maaten, Y. Cho, L. K. Saul, and S. Lerner (2010). Latent variable models for predicting file dependencies in largescale software development. In J. Lafferty, C. K. I. Williams, J. ShaweTaylor, R.S. Zemel, and A. Culotta (eds.), Advances in Neural Information Processing Systems 23, pages 865873. [pdf] 
Y. Cho and L. K. Saul (2010). Largemargin classification in infinite neural networks. Neural Computation 22(10): 26782697. [pdf] 
Y. Cho and L. K. Saul (2009). Kernel methods for deep learning. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta (eds.), Advances in Neural Information Processing Systems 22, pages 342350. [pdf] 
Y. Cho and L. K. Saul (2009). Learning dictionaries of stable autoregressive models for audio scene analysis. In Proceedings of the Twenty Sixth International Conference on Machine Learning (ICML09), pages 169176. Montreal, Canada. [pdf] 
Y. Cho and L. K. Saul (2009). Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP09), pages 17051708. Taipei, Taiwan. [pdf] 
Code
SVMs with arccosine kernels (based on libSVM 2.91) [code] 
