“When majority rules, minority loses: bias amplification of gradient descent”
We often blame biased data but training also amplifies biases. Our paper explores how ML algorithms favor stereotypes at the expense of minority groups.
➡️ arxiv.org/abs/2505.13122
(1/3)
“When majority rules, minority loses: bias amplification of gradient descent”
We often blame biased data but training also amplifies biases. Our paper explores how ML algorithms favor stereotypes at the expense of minority groups.
➡️ arxiv.org/abs/2505.13122
(1/3)
There are multiple jobs offers from Master internships to Assistant professor in the mathematics of data science, optimization, statistical fairness and robustness.
I will try to regroup them in this thread 🧵
There are multiple jobs offers from Master internships to Assistant professor in the mathematics of data science, optimization, statistical fairness and robustness.
I will try to regroup them in this thread 🧵