2.7k citations · 8.5k across the 41 of their papers we have counts for
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Learnability and Complexity of Quantum Samples
Murphy Yuezhen Niu, Andrew M. Dai, Li Li +5
Given a quantum circuit, a quantum computer can sample the output distribution exponentially faster in the number of bits than classical computers. A similar exponential separation…
Training independent subnetworks for robust prediction
Marton Havasi, Rodolphe Jenatton, Stanislav Fort +5
Recent approaches to efficiently ensemble neural networks have shown that strong robustness and uncertainty performance can be achieved with a negligible gain in parameters over th…
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)
Shailesh Bavadekar, Andrew Dai, John Davis +27
This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19sympt…
Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
Kamil Nar, Yuan Xue, Andrew M. Dai
When training the parameters of a linear dynamical model, the gradient descent algorithm is likely to fail to converge if the squared-error loss is used as the training loss functi…
Impacts of Social Distancing Policies on Mobility and COVID-19 Case Growth in the US
Gregory A. Wellenius, Swapnil Vispute, Valeria Espinosa +26
Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subseque…