Andre Wibisono

I am a third-year PhD student in Computer Science at UC Berkeley, advised by Michael Jordan. I am generally interested in the statistical aspects of machine learning. Prior to Berkeley, I received my bachelors and master's degrees from MIT, where I was advised by Tomaso Poggio and Lorenzo Rosasco.

PREPRINTS

1.	Inverses of symmetric, diagonally dominant positive matrices and applications Christopher Hillar, Shaowei Lin, and Andre Wibisono

2.	Maximum entropy distributions on graphs Christopher Hillar and Andre Wibisono

PUBLICATIONS

1.	Minimax Option Pricing Meets Black-Scholes in the Limit Jacob Abernethy, Rafael Frongillo, and Andre Wibisono Symposium on the Theory of Computing (STOC 2012).

2.	Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods John C. Duchi, Michael I. Jordan, Martin Wainwright, and Andre Wibisono Neural Information Processing System (NIPS 2012).

TECHNICAL REPORTS

1.	Generalization and Properties of the Neural Response Jake Bouvrie, Tomaso Poggio, Lorenzo Rosasco, Stephen Smale, and Andre Wibisono MIT Technical Report TR-2010-051/CBCL-292, November 2010

2.	Learning and Invariance in a Family of Hierarchical Kernels Andre Wibisono, Jake Bouvrie, Lorenzo Rosasco, and Tomaso Poggio MIT Technical Report TR-2010-035/CBCL-290, July 2010

3.	Sufficient Conditions for Uniform Stability of Regularization Algorithms Andre Wibisono, Lorenzo Rosasco, and Tomaso Poggio MIT Technical Report TR-2009-060/CBCL-284, December 2009

THESIS

Generalization and Properties of the Neural Response
Andre Wibisono
Master's Thesis, Massachusetts Institute of Technology, June 2010