The multi-institutional team will use causal modeling techniques to build AI systems that better communicate with people and react to unforeseen circumstances.
The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that are affecting their particular research … Continue reading Distinguished Lecture Series 2023
Christos Papadimitriou and Mihalis Yannakakis were honored by INFORMS for their significant contributions to the field of operations research and analytics.
The paper “I Want to Figure Things Out”: Supporting Exploration in Navigation for People with Visual Impairments” and three other … Continue reading CEAL Lab Wins Impact Recognition Award at CSCW 2023
Research papers from the Computer Vision Group were accepted to the International Conference on Computer Vision (ICCV ’23), the premiere … Continue reading Five Papers From The Computer Vision Group Accepted To ICCV 2023
The paper “An Empirical Study of API Stability and Adoption in the Android Ecosystem”, was recognized as the Most Impactful Paper from among the published papers at ICSME ’13.
ARNI Director Zemel goes to Washington to explain to Congress how Columbia’s new AI institute will connect major progress made in AI systems to our understanding of the brain.
The Theory Group recently hosted a three-day workshop in honor of Professor Mihalis Yannakakis’ 70th birthday. The workshop, dubbed Mihalis … Continue reading Mihalis Fest
Four papers from the Wu Lab were presented at the 49th International Conference on Very Large Data Bases (VLDB 2023). … Continue reading Papers from the Wu Lab Accepted to VLDB 2023
Columbia Engineering mourns the passing of Stephen H. Unger, Professor Emeritus of Computer Science and Electrical Engineering at Columbia University. … Continue reading In Memoriam: Stephen H. Unger
Richard Zemel and Toniann Pitassi were recognized for their paper, “Learning Fair Representations,” which established the subfield of machine learning–machine learning and fairness.