Welcome to the Inference, Information and Decision (I.I.D.) Systems Group at the Yale Institute for Network Science . The group is led by Amin Karbasi .

The research in I.I.D. is at the intersection of learning theory, optimization, and information processing. We develop data-driven algorithms, with strong theoretical guarantees,  that can automatically acquire and reason about highly uncertain information. Our application domains include interactive recommender systems, neuroscience, and optimal robust data gathering.


Amazon Research Award
ONR Young Investigator Award 2019
ISIT 2018 Tutorial on Submodularity in Information and Data Science.
CVPR 2018 tutorial on  Big Data Summarization: Algorithms and Applications. 
5 papers accepted to International Conference on Machine Learning (ICML), 2018