search

uchicago-computation-workshop / Spring2022

Repository for the Spring 2022 Computational Social Science Workshop
5 stars 3 forks source link

4/14: Nathan Srebro #3

Open ehuppert opened 2 years ago

ehuppert commented 2 years ago

Comment below with a well-developed question or comment about the reading for this week's workshop. These are individual questions and comments.

Please post your question by Wednesday 11:59 PM, and upvote at least three of your peers' comments on Thursday prior to the workshop. You need to use 'thumbs-up' for your reactions to count towards 'top comments,' but you can use other emojis on top of the thumbs up.

Qlei23 commented 2 years ago

Hi Professor Srebro, thank you for sharing your inspiring work with us! I believe it’s quite convincing that there would be bias in the machine learning models and generating a great way to achieve both unbiasedness and efficiency is important. I am wondering what are the key factors in such trade-off, and how does the literature measure discrimination.

Thank you! I’m looking forward to your presentation tomorrow.

XTang685 commented 2 years ago

Hi Professor Srebro, The idea of making use of threshold predictors to work with fairness is really innovative. Thank you and looking forward to seeing you tomorrow!

Toushirow1 commented 2 years ago

Hi Prof. Srebro, Thanks for your sharing. I want to know whether computing power is a major problem restricting related applications in the current fields of machine learning and deep learning? Is there any solution to the computing power bottleneck now?