image:wibisono
      Andre Wibisono

UNIVERSITY OF CALIFORNIA, BERKELEY


465 Soda Hall
wibisono [at] berkeley [dot] edu

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