173 citations · 410 across the 10 of their papers we have counts for
10 papers
Distributionally Robust Multilingual Machine Translation
Chunting Zhou, Daniel Levy, Xian Li +2
Multilingual neural machine translation (MNMT) learns to translate multiple language pairs with a single model, potentially improving both the accuracy and the memory-efficiency of…
Adapting to Function Difficulty and Growth Conditions in Private Optimization
Hilal Asi, Daniel Levy, John Duchi
We develop algorithms for private stochastic convex optimization that adapt to the hardness of the specific function we wish to optimize. While previous work provide worst-case bou…
Learning with User-Level Privacy
Daniel Levy, Ziteng Sun, Kareem Amin +4
We propose and analyze algorithms to solve a range of learning tasks under user-level differential privacy constraints. Rather than guaranteeing only the privacy of individual samp…
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy, Yair Carmon, John C. Duchi +1
We propose and analyze algorithms for distributionally robust optimization of convex losses with conditional value at risk (CVaR) and divergence uncertainty sets. We prove th…
Geometry, Computation, and Optimality in Stochastic Optimization
Chen Cheng, Daniel Levy, John C. Duchi
We study computational and statistical consequences of problem geometry in stochastic and online optimization. By focusing on constraint set and gradient geometry, we characterize…
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces
Daniel Levy, Stefano Ermon
Policy optimization methods have shown great promise in solving complex reinforcement and imitation learning tasks. While model-free methods are broadly applicable, they often requ…