Daniel Levy
7 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (15) π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (3)
πΊοΈ
Taxonomy Completionist
(14)
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (4)
ICLR (2)
EMNLP (1)
Top co-authors
Keywords
stochastic convex optimization
(2)
convex optimization
(2)
empirical risk minimization
(2)
distributionally robust optimization
(2)
differential privacy
(2)
gradient descent
(1)
convex loss
(1)
mirror descent
(1)
minimax optimal
(1)
adaptive algorithm
(1)
stochastic method
(1)
gradient method
(1)
adaptive gradient
(1)
user-level privacy
(1)
finite sample
(1)
conditional value at risk
(1)
chi-square divergence
(1)
multilevel monte carlo
(1)
language pair
(1)
gradient geometry
(1)
Papers
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
ICLR 2025
Learning with User-Level Privacy
NIPS 2021
Adapting to function difficulty and growth conditions in private optimization
NIPS 2021
Distributionally Robust Multilingual Machine Translation
EMNLP 2021
Large-Scale Methods for Distributionally Robust Optimization
NIPS 2020
Necessary and Sufficient Geometries for Gradient Methods
NIPS 2019
Generalizing Hamiltonian Monte Carlo with Neural Networks
ICLR 2018