From schneide at cs.cmu.edu Fri Jun 17 15:03:38 2011 From: schneide at cs.cmu.edu (Jeff Schneider) Date: Fri, 17 Jun 2011 15:03:38 -0400 Subject: [Research] PostDoc candidate talk Monday at noon NSH 3001 Message-ID: <4DFBA50A.1060707@cs.cmu.edu> Hi Everyone, On Monday we will have a postdoctoral candidate visiting. He will give a talk at noon in NSH 3001. His abstract is below. Please come and listen. Jeff. ------------------------------------------------------------------------------- Talk Title: Learning with Degree-based Subgraph Estimation Abstract: Networks and their topologies are critical to nearly every aspect of modern life, with social networks governing human interactions and computer networks governing global information-flow. Network behavior is inherently structural, and thus modeling data from networks should benefit from explicitly modeling structure. This talk will cover methods for and analysis of learning from network data while explicitly modeling one important measure of structure: degree. Central to this work is a procedure for exact maximum likelihood estimation of a distribution over graph structure, where the distribution factorizes into edge-likelihoods for each pair of nodes and degree-likelihoods for each node. The estimation can be solved using distributable belief propagation, for which we provide various scalability improvements. We additionally propose a learning algorithm for learning the parameters of the distribution from network data consisting of node attributes and network connectivity, using strategies similar to max-margin structured prediction. We apply the learning algorithm and predictor to real network data from online social and document networks and are able to better predict networks than various baselines. Speaker Bio: Bert Huang is a Ph.D. candidate studying machine learning at Columbia University. He is a member of the Machine Learning Laboratory directed by Tony Jebara and the Center for Computational Learning Systems (CCLS). He received his MS in 2006 from Columbia University and his BS and BA in 2004 from Brandeis University. Bert's papers on topics including belief propagation, collaborative filtering, and graph prediction have appeared at conferences including The International Conference on Artificial Intelligence and Statistics (AISTATS) and the International Conference on Machine Learning and Applications (ICMLA). Between 2006 and 2010, Bert was part of a collaboration between CCLS and Consolidated Edison, the primary energy provider of New York City, using machine learning to guide decision-making in the field, leading to several publications, including a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Bert was a research intern at IBM Research Watson in the summer of 2010, working on analysis of spatiotemporal city data. Between 2008 and 2010, Bert served as a preceptor (student lecturer) within Columbia's Department of Computer Science, for which the Department awarded him the Andrew P. Kosoresow Memorial Award for Outstanding Performance in TA-ing and Service. Bert's research interests within and surrounding machine learning include network analysis, probabilistic modeling of networks, message passing inference, social media, and, most recently, large-scale machine learning. From schneide at cs.cmu.edu Mon Jun 20 11:22:14 2011 From: schneide at cs.cmu.edu (Jeff Schneider) Date: Mon, 20 Jun 2011 11:22:14 -0400 Subject: [Research] Bert Huang's talk is today at noon in NSH 3001 Message-ID: <4DFF65A6.2@cs.cmu.edu> Please come and listen at noon today in NSH 3001!! Talk Title: Learning with Degree-based Subgraph Estimation Abstract: Networks and their topologies are critical to nearly every aspect of modern life, with social networks governing human interactions and computer networks governing global information-flow. Network behavior is inherently structural, and thus modeling data from networks should benefit from explicitly modeling structure. This talk will cover methods for and analysis of learning from network data while explicitly modeling one important measure of structure: degree. Central to this work is a procedure for exact maximum likelihood estimation of a distribution over graph structure, where the distribution factorizes into edge-likelihoods for each pair of nodes and degree-likelihoods for each node. The estimation can be solved using distributable belief propagation, for which we provide various scalability improvements. We additionally propose a learning algorithm for learning the parameters of the distribution from network data consisting of node attributes and network connectivity, using strategies similar to max-margin structured prediction. We apply the learning algorithm and predictor to real network data from online social and document networks and are able to better predict networks than various baselines. Speaker Bio: Bert Huang is a Ph.D. candidate studying machine learning at Columbia University. He is a member of the Machine Learning Laboratory directed by Tony Jebara and the Center for Computational Learning Systems (CCLS). He received his MS in 2006 from Columbia University and his BS and BA in 2004 from Brandeis University. Bert's papers on topics including belief propagation, collaborative filtering, and graph prediction have appeared at conferences including The International Conference on Artificial Intelligence and Statistics (AISTATS) and the International Conference on Machine Learning and Applications (ICMLA). Between 2006 and 2010, Bert was part of a collaboration between CCLS and Consolidated Edison, the primary energy provider of New York City, using machine learning to guide decision-making in the field, leading to several publications, including a paper to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Bert was a research intern at IBM Research Watson in the summer of 2010, working on analysis of spatiotemporal city data. Between 2008 and 2010, Bert served as a preceptor (student lecturer) within Columbia's Department of Computer Science, for which the Department awarded him the Andrew P. Kosoresow Memorial Award for Outstanding Performance in TA-ing and Service. Bert's research interests within and surrounding machine learning include network analysis, probabilistic modeling of networks, message passing inference, social media, and, most recently, large-scale machine learning. From neill at cs.cmu.edu Mon Jun 20 18:52:28 2011 From: neill at cs.cmu.edu (Daniel B. Neill) Date: Mon, 20 Jun 2011 18:52:28 -0400 (EDT) Subject: [Research] birth announcement- Adam Ilan Neill Message-ID: Dear friends and colleagues, Rebecca and I are pleased to announce the arrival of our son, Adam Ilan Neill. He was born on Friday, June 17, 2011, at 4:00 pm, weighing 7 lbs., 1 oz., and measuring 20 and 1/4 inches. Mother and baby are doing great! Best regards, Daniel ------------------------------------------------ Daniel B. Neill Assistant Professor of Information Systems Carnegie Mellon University neill at cs.cmu.edu From duczmal at gmail.com Mon Jun 20 19:33:15 2011 From: duczmal at gmail.com (Luiz Henrique Duczmal) Date: Mon, 20 Jun 2011 23:33:15 -0000 Subject: [Research] birth announcement- Adam Ilan Neill In-Reply-To: References: Message-ID: Congratulations! The best part of your lives starts now. All the best, Luiz On Mon, Jun 20, 2011 at 19:52, Daniel B. Neill wrote: > Dear friends and colleagues, > > Rebecca and I are pleased to announce the arrival of our son, Adam Ilan > Neill. ?He was born on Friday, June 17, 2011, at 4:00 pm, weighing 7 lbs., 1 > oz., and measuring 20 and 1/4 inches. ?Mother and baby are doing great! > > Best regards, > Daniel > > > ------------------------------------------------ > Daniel B. Neill > Assistant Professor of Information Systems > Carnegie Mellon University > neill at cs.cmu.edu > From branstet at andrew.cmu.edu Mon Jun 20 21:01:12 2011 From: branstet at andrew.cmu.edu (Lee Branstetter) Date: Tue, 21 Jun 2011 01:01:12 -0000 Subject: [Research] birth announcement- Adam Ilan Neill In-Reply-To: References: Message-ID: <000c01cc2fae$c4958510$4dc08f30$@cmu.edu> Dear Daniel, Mazel tov! I wish you and Rebecca all the best as you adjust to your new lives. No joy can compare to joy of holding your own child. Blessings to all of you. With warm regards, Lee -----Original Message----- From: heinz-faculty-bounces+branstet=andrew.cmu.edu at lists.andrew.cmu.edu [mailto:heinz-faculty-bounces+branstet=andrew.cmu.edu at lists.andrew.cmu.edu] On Behalf Of Daniel B. Neill Sent: Monday, June 20, 2011 6:52 PM To: heinz-faculty at lists.andrew.cmu.edu; mism-faculty at lists.andrew.cmu.edu; heinz-phd at lists.andrew.cmu.edu; research at autonlab.org; ml-faculty at cs.cmu.edu; mzemanko at nsf.gov; gfc at cbmi.pitt.edu; lstreichert at syndromic.org; ksoetebier at gmail.com; john.brownstein at childrens.harvard.edu; duczmal at est.ufmg.br; rfdavies at ottawaheart.ca; kevin.hutchison at hmsinc.com; brett.goldstein at cityofchicago.org; Joseph.Candella at chicagopolice.org; aronson at andrew.cmu.edu Subject: birth announcement- Adam Ilan Neill Dear friends and colleagues, Rebecca and I are pleased to announce the arrival of our son, Adam Ilan Neill. He was born on Friday, June 17, 2011, at 4:00 pm, weighing 7 lbs., 1 oz., and measuring 20 and 1/4 inches. Mother and baby are doing great! Best regards, Daniel ------------------------------------------------ Daniel B. Neill Assistant Professor of Information Systems Carnegie Mellon University neill at cs.cmu.edu From jt03 at andrew.cmu.edu Mon Jun 20 22:04:29 2011 From: jt03 at andrew.cmu.edu (Joel Tarr) Date: Tue, 21 Jun 2011 02:04:29 -0000 Subject: [Research] birth announcement- Adam Ilan Neill In-Reply-To: Message-ID: Dear Dan, Congratulations to you and to Rebecca on the birth of your son. We look forward to seeing your family in Dor Hadash! Best, Joel On 6/20/11 6:52 PM, "Daniel B. Neill" wrote: > Dear friends and colleagues, > > Rebecca and I are pleased to announce the arrival of our son, Adam Ilan > Neill. He was born on Friday, June 17, 2011, at 4:00 pm, weighing 7 lbs., > 1 oz., and measuring 20 and 1/4 inches. Mother and baby are doing great! > > Best regards, > Daniel > > > ------------------------------------------------ > Daniel B. Neill > Assistant Professor of Information Systems > Carnegie Mellon University > neill at cs.cmu.edu > -- Joel A. Tarr Richard S. Caliguiri University Professor of History & Policy Department of History Carnegie Mellon University Pittsburgh, PA 15213 From Joseph.Candella at chicagopolice.org Tue Jun 21 05:18:07 2011 From: Joseph.Candella at chicagopolice.org (Candella, Joseph A.) Date: Tue, 21 Jun 2011 09:18:07 -0000 Subject: [Research] birth announcement- Adam Ilan Neill In-Reply-To: References: Message-ID: <9A26E567DF5AE54E820F8D502079FAAB0239669BD1B8@EXCH-VS1.chicagopolice.local> Congratulations Daniel. We wish you all the best here. P.O. Joseph A. Candella 010th District THE CONTENT OF THIS DOCUMENT MAY BE LAW ENFORCEMENT SENSITIVE (LES) &/OR FOR OFFICIAL USE ONLY (FOUO). Any further disclosure or dissemination of this document or the information contained herein is strictly prohibited without the approval of the Chicago Police Department. Elements of this document may be subject to 28 CFR Part 23 or Adm. Code 1030.140. This information shall not be released to the media or the general public. FAILURE TO ADHERE TO THESE POLICIES MAY RESULT IN CIVIL, CRIMINAL OR DISCIPLINARY ACTION . ________________________________________ From: Daniel B. Neill [neill at cs.cmu.edu] Sent: Monday, June 20, 2011 5:52 PM To: heinz-faculty at lists.andrew.cmu.edu; mism-faculty at lists.andrew.cmu.edu; heinz-phd at lists.andrew.cmu.edu; research at autonlab.org; ml-faculty at cs.cmu.edu; mzemanko at nsf.gov; gfc at cbmi.pitt.edu; lstreichert at syndromic.org; ksoetebier at gmail.com; john.brownstein at childrens.harvard.edu; duczmal at est.ufmg.br; rfdavies at ottawaheart.ca; kevin.hutchison at hmsinc.com; brett.goldstein at cityofchicago.org; Candella, Joseph A.; aronson at andrew.cmu.edu Subject: birth announcement- Adam Ilan Neill Dear friends and colleagues, Rebecca and I are pleased to announce the arrival of our son, Adam Ilan Neill. He was born on Friday, June 17, 2011, at 4:00 pm, weighing 7 lbs., 1 oz., and measuring 20 and 1/4 inches. Mother and baby are doing great! Best regards, Daniel ------------------------------------------------ Daniel B. Neill Assistant Professor of Information Systems Carnegie Mellon University neill at cs.cmu.edu