Dmitriev, Daniil

5 publications

ICML 2024 Asymptotics of Learning with Deep Structured (Random) Features Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro

COLT 2024 On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective Daniil Dmitriev, Kristóf Szabó, Amartya Sanyal

NeurIPS 2024 Robust Mixture Learning When Outliers Overwhelm Small Groups Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang

ICML 2023 Deterministic Equivalent and Error Universality of Deep Random Features Learning Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro

ICLR 2020 Dynamic Model Pruning with Feedback Tao Lin, Sebastian U. Stich, Luis Barba, Daniil Dmitriev, Martin Jaggi