Daniil Dmitriev

16 papers A* 6A 1Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Sampling with Discrete Diffusion Models: Sharp and Adaptive Guarantees.
CoRR
Daniil Dmitriev, Zhihan Huang, Yuting Wei
2026 A* conf
Learning in an Echo Chamber: Online Learning with Replay Adversary.
SODA
Daniil Dmitriev, Harald Eskelund Franck, Carolin Heinzler, Amartya Sanyal
2026 J jnl
Randomstrasse101: Open Problems of 2025.
CoRR
Afonso S. Bandeira, Daniil Dmitriev, Kevin Lucca, Petar Nizic-Nikolac, Almut Rödder
2025 J jnl
Learning in an Echo Chamber: Online Learning with Replay Adversary.
CoRR
Daniil Dmitriev, Harald Eskelund Franck, Carolin Heinzler, Amartya Sanyal
2024 A* conf
Asymptotics of Learning with Deep Structured (Random) Features.
ICML
Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro
2024 J jnl
Asymptotics of Learning with Deep Structured (Random) Features.
CoRR
Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro
2024 A conf
Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem.
APPROX/RANDOM
Gabriel Arpino, Daniil Dmitriev, Nicolò Grometto
2024 A* conf
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective.
COLT
Daniil Dmitriev, Kristóf Szabó, Amartya Sanyal
2024 J jnl
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective.
CoRR
Daniil Dmitriev, Kristóf Szabó, Amartya Sanyal
2024 A* conf
Robust Mixture Learning when Outliers Overwhelm Small Groups.
NeurIPS
Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
2024 J jnl
Robust Mixture Learning when Outliers Overwhelm Small Groups.
CoRR
Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
2023 A* conf
Deterministic equivalent and error universality of deep random features learning.
ICML
Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro
2023 J jnl
Deterministic equivalent and error universality of deep random features learning.
CoRR
Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro
2023 J jnl
Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem.
CoRR
Gabriel Arpino, Daniil Dmitriev, Nicolò Grometto
2020 A* conf
Dynamic Model Pruning with Feedback.
ICLR
Tao Lin, Sebastian U. Stich, Luis Barba, Daniil Dmitriev, Martin Jaggi
2020 J jnl
Dynamic Model Pruning with Feedback.
CoRR
Tao Lin, Sebastian U. Stich, Luis Barba, Daniil Dmitriev, Martin Jaggi