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.
Research scientists present a novel framework that recommends new social connections with explanations as to whether the link is topical or social.
In new research, our scientists designed algorithms that automatically map out the most beautiful, quiet, and happy routes between two city points.
Kumar discusses the need for advanced visual interfaces to enable end-users to discover knowledge hidden in multi-dimensional geospatial databases.
Changtao Zhong presents "Social Bootstrapping: How Pinterest and Last.fm Social Communities Benefit by Borrowing Links from Facebook"
The talk focuses on friend-finder tools that help users copy friends from Facebook and examines how it enhances the social experience of new websites.