Welcome to my homepage. My research lies at the intersection of learning theory, large-scale networks, and optimum information processing. As of July 2014 I will be joining Yale Institute of Network Science as an assistant professor and lead the Inference, Information and Decision (I.I.D.) Systems Group.
Our paper Streaming Submodular Maximization: Massive Data Summarization on the Fly is accepted for publication in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014.
Our paper Noise Facilitation in Associative Memories of Exponential Capacity is accepted for publication in Neural Computation.
Our paper Near-Optimally Teaching the Crowd to Classify is accepted to the 31st International Conference on Machine Learning (ICML), 2014.
Our paper Near Optimal Bayesian Active Learning for Decision Making was presented in the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014.
Our paper Noise-Enhanced Associative Memories was presented in the Neural Information Processing Systems (NIPS), 2013.
Our paper Distributed Submodular Maximization: Identifying Representative Elements in Massive Data was presented in the Neural Information Processing Systems (NIPS), 2013.
Amin Karbasi received Patrick Denantes Memorial Prize 2013 for the best Ph.D. thesis in the school of computer and communication sciences at EPFL.
Amin Karbasi was selected as ETH Fellow and received ETHZ Fellowship Grant 2013 .