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, social and neural networks, and optimal experimental design.


Amin Karbasi is giving a tutorial on the role of submodularity in data summarization in CVPR 2018. 
5 papers accepted to International Conference on Machine Learning (ICML), 2018
Lin Chen received 2018 Google PhD felloswhip. Congrats Lin. 
4 papers accepted to International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Understanding Ourselves Through Neuroimaging and Algorithms