Daniel Levy
7 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
convex optimization
(2)
differential privacy
(2)
distributionally robust optimization
(2)
stochastic convex optimization
(2)
empirical risk minimization
(2)
mean estimation
(1)
minimax optimality
(1)
stochastic gradient
(1)
effective sample size
(1)
latent variable
(1)
convex loss
(1)
gradient descent
(1)
mirror descent
(1)
hamiltonian monte carlo
(1)
generative model
(1)
minimax optimal
(1)
markov chain monte carlo
(1)
diffusion model
(1)
neural machine translation
(1)
generative modeling
(1)
Papers
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
ICLR 2025
Adapting to function difficulty and growth conditions in private optimization
NeurIPS 2021
Distributionally Robust Multilingual Machine Translation
EMNLP 2021
Learning with User-Level Privacy
NeurIPS 2021
Large-Scale Methods for Distributionally Robust Optimization
NeurIPS 2020
Necessary and Sufficient Geometries for Gradient Methods
NeurIPS 2019
Generalizing Hamiltonian Monte Carlo with Neural Networks
ICLR 2018