Robust Empirical Risk Minimization with Tolerance. - Robi Bhattacharjee; Max Hopkins; Akash Kumar 010; Hantao Yu; Kamalika Chaudhuri (ALT, 2023)

Mirror Descent on Reproducing Kernel Banach Spaces. - Akash Kumar 010; Mikhail Belkin; Parthe Pandit (CoRR, 2024)

Learning Smooth Distance Functions via Queries. - Akash Kumar 010; Sanjoy Dasgupta (CoRR, 2024)

A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis. - Akash Kumar 010; Rahul Parhi; Mikhail Belkin (COLT, 2025)

The Complexity of Learning Sparse Superposed Features with Feedback. - Akash Kumar 010 (CoRR, 2025)