image:wibisono
      Andre Wibisono

UNIVERSITY OF CALIFORNIA, BERKELEY


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

I am a fourth-year PhD student in Computer Science at UC Berkeley, advised by Michael I. Jordan. I am interested in the general statistical analysis of machine learning algorithms.

Before coming to Berkeley, I received my bachelor's degrees in mathematics and computer science in 2009 from MIT. I also received my master's degree in computer science from MIT in 2010, where I was advised by Tomaso Poggio and Lorenzo Rosasco. I received my MA degree in Statistics from Berkeley in May 2013.




PUBLICATIONS

How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
Jake Abernethy, Peter Bartlett, Rafael Frongillo, and Andre Wibisono
Neural Information Processing System (NIPS), December 2013
Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, and Michael I. Jordan
Neural Information Processing System (NIPS), December 2013
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
John C. Duchi, Michael I. Jordan, Martin J. Wainwright, and Andre Wibisono
Neural Information Processing System (NIPS), December 2012
Minimax Option Pricing Meets Black-Scholes in the Limit
Jacob Abernethy, Rafael Frongillo, and Andre Wibisono
Symposium on the Theory of Computing (STOC), May 2012

THESES

Maximum Entropy Distributions on Graphs
Thesis for MA in Statistics, University of California, Berkeley, May 2013
Generalization and Properties of the Neural Response
Thesis for M.Eng. in Computer Science, Massachusetts Institute of Technology, June 2010

PREPRINTS AND TECHNICAL REPORTS

Inverses of symmetric, diagonally dominant positive matrices and applications
Christopher Hillar, Shaowei Lin, and Andre Wibisono
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
(This is a slightly revised and expanded version of my M.Eng. thesis)
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
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