Richard Lanas Phillips 📈📉
@rlanasphillips
ML researcher at Cornell. Inequality, structured data, and responsible prediction. Amateur cricket player and computational chemist. He/him. PhD Student.
Hello everyone! Discrimination and Equality in Algorithmic Decision-making are taking over Twitter this week. Check us out! md4sg.com/workinggroups/… 1/7
@rlanasphillips is a Ph.D. candidate at Cornell. His interests are in the ways we make decisions around ML algorithms, e.g. how should we apply models to groups with different needs, how do model affect community development, or how algorithms augment our existing biases? 4/7
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Announcing the following UPDATE: *The page limit this year is 12-15 pages, not 8-10!* Looking forward to reading your submissions 🎉 Further details of the Facct 2022 CFP can be found here: facctconference.org/2022/cfp.html
It is pleasure to welcome Dr. Sorelle Friedler to OSTP. Her vast + distinctive experience includes AI applications ranging from materials science to criminal justice policy, and problem-solving tech innovation in industry, government, and the academy. A simply stellar colleague!
Announcing the following UPDATE: *The page limit this year is 12-15 pages, not 8-10!* Looking forward to reading your submissions 🎉 Further details of the Facct 2022 CFP can be found here: facctconference.org/2022/cfp.html
We’re presenting WILDS, a benchmark of in-the-wild distribution shifts, as a long talk at ICML! Check out @shiorisagawa's talk + our poster session from 9-11pm Pacific on Thurs. Talk: recorder-v3.slideslive.com/#/share?share=… Poster: icml.cc/virtual/2021/p… Web: wilds.stanford.edu 🧵(1/n)
Undergrad instructors: It's probably not the best time to make midterm questions about vaccinations or viral spread to make math more relevant to your students
We're excited to announce WILDS, a benchmark of in-the-wild distribution shifts with 7 datasets across diverse data modalities and real-world applications. Website: wilds.stanford.edu Paper: arxiv.org/abs/2012.07421 Github: github.com/p-lambda/wilds Thread below. (1/12)
Rediet Abebe (@red_abebe), incoming assistant professor of Computer Science at the University of California at Berkeley (@Berkeley_EECS), earned this year's ACM SIGKDD Doctoral Dissertation Award for her Ph.D. thesis, "Designing Algorithms for Social Good." Congratulations!
The ACM Fairness, Accountability and Transparency (FAccT) 2021 conference CFP is finally here! 🥳🥳🥳 We welcome submissions from a wide variety of disciplines, including computer science, statistics, the humanities, and law. facctconference.org/2021/cfp.html 1/5