Hello, I am an Associate Professor in the Department of Computer Science at Cornell University. I received my Ph.D. from UPenn in Machine Learning under the supervision of Lawrence Saul. I did my undergraduate degree in Mathematics and Computer Science at the University of Oxford.
My main line of research is in and around Machine Learning. In particular, I focus on high dimensional data analysis, machine learned web-search ranking, sentiment analysis, metric learning, multitask- and transfer-learning settings and bio-medical applications. Currently, my lab has developed a special focus on test-time cost-sensitive learning. (My C.V..)
Since around 2010 I have been (on and off) area chair for NIPS and ICML, senior program chair for AAAI, publications chair for NIPS and ICML, a member of the editorial board of JMLR and JAIR and associate editor for TPAMI. In 2016 I will be co-program chair for ICML, together with Nina Balcan.
Bio: Kilian Weinberger is an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computer Science from the University of Oxford. During his career he has won several best paper awards at ICML, CVPR, AISTATS and KDD (runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. Kilian Weinberger's research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, transfer- and multi-task learning as well as biomedical applications. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.