no code implementations • 9 May 2024 • Yash Khandelwal, Mayur Arvind, Sriram Kumar, Ashish Gupta, Sachin Kumar Danisetty, Piyush Bagad, Anish Madan, Mayank Lunayach, Aditya Annavajjala, Abhishek Maiti, Sansiddh Jain, Aman Dalmia, Namrata Deka, Jerome White, Jigar Doshi, Angjoo Kanazawa, Rahul Panicker, Alpan Raval, Srinivas Rana, Makarand Tapaswi
Our goal is to equip health workers and public health systems with a solution for contactless newborn anthropometry in the community.
1 code implementation • 16 Dec 2022 • Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton
The procedure requires just a single ridge regression from $Y$ to kernelized features of $Z$, which can be done in advance.
1 code implementation • 15 Nov 2022 • Namrata Deka, Danica J. Sutherland
We introduce a method, MMD-B-Fair, to learn fair representations of data via kernel two-sample testing.
no code implementations • 5 Jun 2019 • Danica J. Sutherland, Namrata Deka
The maximum mean discrepancy (MMD) is a kernel-based distance between probability distributions useful in many applications (Gretton et al. 2012), bearing a simple estimator with pleasing computational and statistical properties.