Andre
Wibisono
UNIVERSITY OF WISCONSIN, MADISON aywibisono [at] wisc [dot] edu |

I am a postdoc at UW Madison, advised by Po-Ling Loh.

I received my PhD in computer science from UC Berkeley in 2016, advised by Michael Jordan, and my MA in Statistics in 2013.

I received my bachelor's degrees in mathematics and computer science from MIT in 2009, and my MEng in computer science in 2010, advised by Tomaso Poggio.

I received my PhD in computer science from UC Berkeley in 2016, advised by Michael Jordan, and my MA in Statistics in 2013.

I received my bachelor's degrees in mathematics and computer science from MIT in 2009, and my MEng in computer science in 2010, advised by Tomaso Poggio.

RESEARCH

• | A variational perspective on accelerated methods in optimization Andre Wibisono, Ashia Wilson, and Michael Jordan arXiv:1603.04245, 2016 |

• | Optimal rates for zero-order convex optimization: the power of two function evaluations John Duchi, Michael Jordan, Martin Wainwright, and Andre Wibisono IEEE Transactions on Information Theory, 61(5): 2788--2806, May 2015 |

• | A Hadamard-type lower bound for symmetric diagonally dominant positive matrices Christopher Hillar and Andre Wibisono Linear Algebra and Applications, 472: 135--141, 2015 |

• | Convexity of reweighted Kikuchi approximation Po-Ling Loh and Andre Wibisono NIPS (Neural Information Processing System) 2014 |

• | How to hedge an option against an adversary: Black-Scholes pricing is minimax optimal Jake Abernethy, Peter Bartlett, Rafael Frongillo, and Andre Wibisono NIPS (Neural Information Processing System) 2013 |

• | Streaming variational Bayes Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia Wilson, and Michael Jordan NIPS (Neural Information Processing System) 2013 |

• | Maximum entropy distributions on graphs Christopher Hillar and Andre Wibisono arXiv:1301.3321, 2013 |

• | Inverses of symmetric, diagonally dominant positive matrices and applications Christopher Hillar, Shaowei Lin, and Andre Wibisono arXiv:1203.6812, 2013 |

• | Finite
sample convergence rates of zero-order stochastic optimization methods John Duchi, Michael Jordan, Martin Wainwright, and Andre Wibisono NIPS (Neural Information Processing System) 2012 |

• | Minimax option pricing meets Black-Scholes in the limit Jacob Abernethy, Rafael Frongillo, and Andre Wibisono STOC (Symposium on the Theory of Computing) 2012 |

• | Variational and Dynamical Perspectives on Learning and Optimization
PhD in Computer Science, University of California, Berkeley, May 2016 |

• | Maximum Entropy Distributions on Graphs
MA in Statistics, University of California, Berkeley, May 2013 |

• | Generalization and Properties of the Neural Response
MEng in Computer Science, Massachusetts Institute of Technology, June 2010 |