173 citations · 181 across the 5 of their papers we have counts for
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cs.LG2021★ 2 cited
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…
cs.LG2017★ 6 cited
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
Stephen Mussmann, Daniel Levy, Stefano Ermon
Inference in log-linear models scales linearly in the size of output space in the worst-case. This is often a bottleneck in natural language processing and computer vision tasks wh…
cs.LG2017★ 173 cited
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noisi…