Seminar

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Tuesday, February 2, 2021 12:00 pm - 12:00 pm EST (GMT -05:00)

Seminar • Natural Language Processing | Machine Learning — Reliable Machine Learning for Computational Social Science

Please note: This seminar will be given online.

Dallas Card, Postdoctoral scholar
NLP Group and the Data Science Institute, Stanford University

Machine learning and natural language processing have become increasingly influential, both in commercial applications and as key tools for research in the natural and social sciences. In both cases, however, research in these fields raises numerous concerns related to bias, transparency, robustness, and how we communicate information.

Tuesday, January 26, 2021 12:00 pm - 12:00 pm EST (GMT -05:00)

Seminar • Algorithms and Complexity — Diversity and Fairness in Data Summarization Algorithms

Please note: This seminar will be given online.

Sepideh Mahabadi
Toyota Technological Institute at Chicago

Searching and summarization are two of the most fundamental tasks in massive data analysis. In this talk, I will focus on these two tasks from the perspective of diversity and fairness.

Thursday, January 14, 2021 11:30 am - 11:30 am EST (GMT -05:00)

Seminar • Software Engineering — Expanding the Reach of Fuzzing

Please note: This seminar will be given online.

Caroline Lemieux, Department of Computer Science
University of California, Berkeley

Software bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, Heartbleed, Shellshock) and cost standpoint. Fuzzing refers to a set of techniques that automatically find bug-triggering inputs by sending many random-looking inputs to the program under test.