Our department lunches are weekly on Thursdays in Clapp 407 at noon. There is pizza and salad, all bottled dressings are vegan. They are always open to all students!
Please join us for the last department lunch of the semester! It's our "Ask Faculty Anything" lunch, bring your questions about classes, research, grad school, careers, or anything you're wondering about.
Math Stat Data Lunch - 12pm Thursday Dec 7 Clapp 407
Please join us for this week's department lunch, featuring the AWM chapter! Come hear from them about what they've been up to, what's coming next semester, and how you can get involved.
Math Stat Data Lunch - 12pm Thursday Nov 30 Clapp 407
Please join us on Thursday for our pre-advising week lunch! We will preview classes being offered next semester. You can hear from faculty about courses on offer in the spring like Topology, Stochastic Processes, and Time Series Analysis. Come have some lunch, hear about classes being offered next year, and ask questions.
The first tab has the schedule, please note there may be some small changes between now and next semester. The second tab has descriptions of electives that are new or not offered every year.
If you have questions about next semester and know that you can't make it to the lunch, please email me and we'll try to get you an answer from the department.
Math Stat Data Lunch - 12pm Thursday Oct 19 Clapp 407
Neal Wadhwa, Google Staff Software Engineer
Neal works on computer vision and machine learning problems, with a focus on applications in photography. His work at Google is the basis for Portrait Mode and Magic Eraser on the Google Pixel smartphone.
Neal was an undergraduate Statistics major and got his PhD at MIT in CS and AI. He is now at Google. Here is his website: https://nealwadhwa.com/.
Please join us tomorrow at noon in Clapp 407! The CS Society is hosting a tea with Saadia, both events are open to students of all majors.
Pizza and salad will arrive at noon and the talk will be from 12:15-1pm.
Our speaker will be our very own Saadia Gabriel, MHC 2017 and a math/CS major. Professor Gabriel has a PhD in Computer Science from the University of Washington and will be starting as an Assistant Professor in CS at UCLA next summer. Here is her website: https://saadia-gabriel.github.io/
Title: Socially Responsible and Factual Reasoning for Equitable AI Systems
Abstract:
Understanding the implications underlying a text is critical to assessing its impact. This requires endowing artificial intelligence (AI) systems with pragmatic reasoning, for example to infer that the statement ?Epidemics and cases of disease in the 21st century are ?staged?? relates to unfounded conspiracy theories. In this talk, I discuss how shortcomings in the ability of current AI systems to reason about social context leads to inequitable detection of false or harmful language. I demonstrate how these shortcomings can be addressed by imposing human-interpretable structure on deep learning architectures using insights from linguistics.
In the first part of the talk, I describe how adversarial text generation algorithms can be used to improve model robustness. I then introduce a pragmatic formalism for reasoning about harmful implications conveyed by social media text. I show how this pragmatic approach can be combined with generative neural language models to uncover implications of news headlines. I also address the bottleneck to progress in text generation posed by gaps in evaluation of factuality. I conclude with my future vision for development of community-driven natural language processing.