Showing results 1 to 5 of 5
On correctness of automatic differentiation for non-differentiable functions Lee, Wonyeol; Yu, Hangyeol; Rival, Xavier; Yang, Hongseok, The 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Neural information processing systems foundation, 2020-12-08 |
Reparameterization gradient for non-differentiable models Lee, Wonyeol; Yu, Hangyeol; Yang, Hongseok, The 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), pp.5553 - 5563, Neural information processing systems foundation, 2018-12-06 |
Towards verified stochastic variational inference for probabilistic programs Lee, Wonyeol; Yu, Hangyeol; Rival, Xavier; Yang, Hongseok, The 47th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2020), Association for Computing Machinery, 2020-01-22 |
Towards Verified Stochastic Variational Inference for Probabilistic Programs Lee, Wonyeol; Yu, Hangyeol; Rival, Xavier; Yang, Hongseok, PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL, v.4, 2020-01 |
Verifying well-definedness of variational objectives for probabilistic programs = 확률적 프로그램의 잘 정의된 변분 목적 함수 검증link Yu, Hangyeol; Yang, Hongseok; et al, 한국과학기술원, 2020 |
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