What's New

"Revisiting k-means: New Algorithms via Bayesian Nonparametrics" (co-authored with Michael Jordan) was accepted to ICML 2012 in Edinburgh, Scotland.

In the fall, I will be teaching a topics course on machine learning, tentatively focusing on probabilistic graphical models. Details to come.

In the spring, I am teaching a topics course on unsupervised learning, focusing mainly on Bayesian models. See the webpage here.

I am co-organizing a workshop entitled "Beyond Mahalanobis: Supervised Large-Scale Learning of Similarity" at NIPS 2011 (with Greg Shakhnarovich, Dhruv Batra, and Kilian Weinberger). See the webpage here.

I am co-organizing a workshop on "Kernels and Distances in Computer Vision" at ICCV 2011 in Barcelona, Spain (with Peter Gehler and Christoph Lampert). See the webpage here.

"What You Saw Is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms" (co-authored with Kate Saenko and Trevor Darrell) was accepted as an oral at CVPR 2011.

"Metric Learning for Reinforcement Learning Agents" (co-authored with Matthew Taylor and Fei Sha) was accepted to AAMAS 2011.

Introduction

I am an assistant professor in the CSE department at Ohio State University.

Previously, I spent three years as a postdoc at UC Berkeley EECS (Computer Science Division), and was also affiliated with ICSI, where I had the good fortune to work with Trevor Darrell, Stuart Russell, Michael Jordan, and Peter Bartlett. Broadly speaking, I am interested in all aspects of machine learning, with an emphasis on applications to computer vision. Most of my research focuses on making it easier to analyze and search complex, large-scale data. A major focus is on large-scale optimization for core problems in machine learning such as metric learning, content-based search, clustering, and online learning. I am increasingly interested in large-scale graphical models, Bayesian inference, and Bayesian nonparametrics.

I finished my Ph.D. in computer science in November, 2008, supervised by Inderjit Dhillon in the University of Texas at Austin computer science department. I did my undergrad in computer science and mathematics at Cornell University. I have also worked with John Platt and Arun Surendran at Microsoft Research on large-scale optimization, and as an undergraduate, I worked with John Hopcroft on tracking topics in networked data over time. During the Fall 2007 semester, I was a research fellow at the Institute for Pure and Applied Mathematics at U.C.L.A.

Curriculum Vitae [pdf]

Research Details

Click here to read more about some of my research.

Publications by Type

Publications Chronologically  

Contact Info

Office: 599 Dreese Labs

Email: kulis [at] cse [dot] ohio-state [dot] edu