portrait

 

About Bert

Bert is a Ph. D. student at Columbia University working towards his degree in Computer Science. He was born the summer of 1982 in Ithaca, NY. Shortly after, his family moved to the Boston area and he then spent the majority of his childhood growing up in Wellesley, MA. He spent his undergraduate years in Waltham, MA earning a BS and a BA in Computer Science and Philosophy, respectively, at Brandeis University. He then moved to New York City to study at Columbia, where he earned a MS degree in February 2006.

Teaching

Data Structures in Java, Fall 2009

Data Structures and Algorithms, Spring 2009

Introduction to Computer Science and Programming in C. Fall 2008

Research

Bert works at the Center for Computational Learning Systems (CCLS) and the Machine Learning Laboratory run by Professor Tony Jebara.

Bert's CV in PDF format.

Refereed Conference Papers

Exact Graph Structure Estimation with Degree Priors
Bert Huang and Tony Jebara. To appear at the International Conference on Machine Learning and Applications (ICMLA) 2009.
PDF

Alive on Back-feed Culprit Identifaction via Machine Learning
Bert Huang, Ansaf Salleb-Aouissi and Phil Gross. To appear at the International Conference on Machine Learning and Applications (ICMLA) 2009. Special Session on Machine Learning in Energy Applications.
PDF

Discovering Characterization Rules from Rankings
Ansaf Salleb-Aouissi, Bert Huang and Phil Gross. To appear at the International Conference on Machine Learning and Applications (ICMLA) 2009.
PDF

Maximum Entropy Density Estimation with Incomplete Presence-Only Data.
Bert Huang and Ansaf Salleb-Aouissi. AISTATS 2009.
PDF, Poster

Vers des Machines a Vecteurs de Support "Actionables": Une Approche Fondee sur le Classement. (Toward Actionable Support Vector Machines: A Ranking Based Approach)
Ansaf Salleb-Aouissi, Bert Huang and David Waltz. Knowledge Extraction and Management (Extraction et Gestion des Connaissances) EGC 2008, Sophia Antipolis, France. Best Paper Award.

Loopy Belief Propagation for Bipartite Maximum Weight b-Matching.
Bert Huang and Tony Jebara. AISTATS 2007. PDF, PS, Slides, Code.

Refereed Workshop Papers and Abstracts

Maximum Likelihood Graph Structure Estimation with Degree Distributions.
Bert Huang and Tony Jebara. Analyzing Graphs: Theory and Applications, NIPS Workshop, December 2008.
PDF

Approximating the Permanent with Belief Propagation.
Bert Huang and Tony Jebara. New York Academy of Sciences Machine Learning Symposium 2007.
Poster and abstract

Maximum Entropy Density Estimation with Incomplete Data.
Bert Huang and Ansaf Salleb-Aouissi. New York Academy of Sciences Machine Learning Symposium 2007.
Poster and abstract.

Loopy Belief Propagation for Bipartite Maximum Weight B-Matching.
Bert Huang and Tony Jebara. New York Academy of Sciences Machine Learning Symposium 2006.
Poster and abstract.

Unrefereed Technical Reports

Approximating the Permanent with Belief Propagation.
Bert Huang and Tony Jebara.
pdf, ARXIV.

Misc.

spouterprod.c. A useful mex utility to compute sparse outer products in matlab, taking advantage in computation time and memory usage when you are interested in computing something like mask.*(U*V'), where mask is a sparse binary matrix.

Hobbies

When he has free time, Bert tries his best to be a musician. In early his high school years, he arranged a number of electronic pieces. Later, in high school and college, he explored combining his electronic songs with real voice and instrument recordings (here is a small subset).

Bert recently earned a red belt studying with the Columbia University Tae Kwon Do Club.

Copyright 2007-2009 Bert Huang