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06/23/2023
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Large-scale generative models such as GPT and DALL-E have revolutionized...
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06/07/2023
Privately generating tabular data using language models
Privately generating synthetic data from a table is an important brick o...
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02/02/2022
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
Sparse histogram methods can be useful for returning differentially priv...
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01/28/2022
Bounding Training Data Reconstruction in Private (Deep) Learning
Differential privacy is widely accepted as the de facto method for preve...
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12/15/2020
Network experimentation at scale
We describe our framework, deployed at Facebook, that accounts for inter...
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06/29/2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Bayesian optimization is a sequential decision making framework for opti...
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10/14/2019
BoTorch: Programmable Bayesian Optimization in PyTorch
Bayesian optimization provides sample-efficient global optimization for ...
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06/26/2018
The decoupled extended Kalman filter for dynamic exponential-family factorization models
We specialize the decoupled extended Kalman filter (DEKF) for online par...
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06/21/2017
Constrained Bayesian Optimization with Noisy Experiments
Randomized experiments are the gold standard for evaluating the effects ...
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05/20/2017