Royset, Johannes O.

4 publications

ICLR 2026 Enhancing Learning with Noisy Labels via Rockafellian Relaxation Louis Chen, Bobbie Chern, Eric Eckstrand, Amogh Mahapatra, Johannes O. Royset

ICLR 2026 Membership Privacy Risks of Sharpness Aware Minimization Young In Kim, Andrea Agiollo, Pratiksha Agrawal, Johannes O. Royset, Rajiv Khanna

ICML 2025 Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails Jindong Tong, Hongcheng Liu, Johannes O. Royset

MLJ 2023 Diametrical Risk Minimization: Theory and Computations Matthew D. Norton, Johannes O. Royset