Moti Yung talks about his work on the Google Apple Exposure Notification API contact tracing project at the Responsible Data Summit.
The 37th International Conference on Machine Learning is an annual event taking place virtually this week. Professor David Blei is … Continue reading Machine Learning Papers Accepted to ICML 2020
Students from diverse, nontraditional backgrounds can now take a one-year transition before entering the MS program in computer science. … Continue reading Bridging the Technology Gap
Papers from the Speech and Natural Language Processing groups were accepted to the 58th Annual Meeting of the Association for … Continue reading Speech and Natural Language Processing Papers Accepted to the ACL 2020
In a story for the Simons Institute, Daniel Hsu writes about deep learning and how it has attracted new attention to several basic questions in statistical machine learning.
Papers from the Theory group look at long-standing research, local search methods, and introduces a new concept in graph theory. … Continue reading CS Theory Papers Accepted to STOC 2020
Salvatore Stolfo talks about the responsibility of companies to protect their customers from phishing attacks.
Eugene Wu writes about his paper, “Compliant-driven Training Data Debugging” and examines how to debug complex workflows that combine traditional data analytics with machine learning predictions.
Five CS researchers received Test of Time awards for papers that have had a lasting impact on their fields. The … Continue reading CS Researchers Receive Test of Time Awards
Jeannette M. Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University, will receive an honorary degree from Linköping University in Sweden.
A new grant supports and expands Columbia’s proven track record for inclusivity. There has been an explosion of interest … Continue reading Making the Case for More Women in Computer Science
Lydia Chilton and Eugene Wu developed a virtual design challenge for students to address the challenges of remote living.
Professor Mihalis Yannakakis is recognized for his fundamental contributions to theoretical computer science and applications to other areas.