19 citations · 59 across the 16 of their papers we have counts for
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stat.ML2023★ 1 cited
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
Xitong Zhang, Avrajit Ghosh, Guangliang Liu +1
Previous research on PAC-Bayes learning theory has focused extensively on establishing tight upper bounds for test errors. A recently proposed training procedure called PAC-Bayes t…
stat.ML2022
Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems
Santhosh Karnik, Rongrong Wang, Mark Iwen
The remarkable successes of neural networks in a huge variety of inverse problems have fueled their adoption in disciplines ranging from medical imaging to seismic analysis over th…