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Wonyeol Lee
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Training with Mixed-Precision Floating-Point Assignments


Jan 31, 2023
Wonyeol Lee, Rahul Sharma, Alex Aiken

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On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters


Jan 31, 2023
Wonyeol Lee, Sejun Park, Alex Aiken

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Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference


Aug 22, 2022
Wonyeol Lee, Xavier Rival, Hongseok Yang

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On Correctness of Automatic Differentiation for Non-Differentiable Functions


Jun 12, 2020
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang

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Differentiable Algorithm for Marginalising Changepoints


Nov 22, 2019
Hyoungjin Lim, Gwonsoo Che, Wonyeol Lee, Hongseok Yang

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* To appear at AAAI 2020 
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Towards Verified Stochastic Variational Inference for Probabilistic Programs


Jul 25, 2019
Wonyeol Lee, Hangyeol Yu, Xavier Rival, Hongseok Yang

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Reparameterization Gradient for Non-differentiable Models


Oct 25, 2018
Wonyeol Lee, Hangyeol Yu, Hongseok Yang

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* To appear at Neural Information Processing Systems (NIPS) 2018 
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