Shivaram Kalyanakrishnan is a scientist at Yahoo! Labs Bangalore. His primary research interests lie in the fields of artificial intelligence and machine learning, spanning areas such as reinforcement learning, agents and multiagent systems, humanoid robotics, multi-armed bandits, and on-line advertising. He obtained his Ph.D. in Computer Science from The University of Texas at Austin (2011), and his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Madras (2004). He has extensively used robot soccer as a test domain for his research, and has actively contributed to initiatives such as RoboCup and the Reinforcement Learning competitions.
The Personalization Science team at Yahoo Labs provides an introduction to the science of personalization at Yahoo.
We've launched our new Tumblr blog series called “Science Powering Product” where we discuss the science behind Yahoo products.
The talk focuses on the load balancing problem in stream processing engines that exists due to the the presence of data skewness.
We discuss efficient algorithms for finding approximate frequent subgraph patterns from large graphs.