Large-scale generative models such as GPT and DALL-E have revolutionized...
Privately generating synthetic data from a table is an important brick o...
Sparse histogram methods can be useful for returning differentially priv...
Differential privacy is widely accepted as the de facto method for preve...
We describe our framework, deployed at Facebook, that accounts for
inter...
Bayesian optimization is a sequential decision making framework for
opti...
Bayesian optimization provides sample-efficient global optimization for ...
We specialize the decoupled extended Kalman filter (DEKF) for online
par...
Randomized experiments are the gold standard for evaluating the effects ...
This article discusses a framework to support the design and end-to-end
...