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Showing results 10 to 22 of 22

10
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

11
On nesting Monte Carlo estimators

Rainforth, Tom; Cornish, Robert; Yang, Hongseok; Warrington, Andrew; Wood, Frank, 35th International Conference on Machine Learning, ICML 2018, pp.6789 - 6817, International Machine Learning Society (IMLS), 2018-07-13

12
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

Seo, Seokin; HWANG, HYEONGJOO; Yang, Hongseok; Kim, Kee-Eung, The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Neural information processing systems foundation, 2023-12-13

13
Regularizing towards soft equivariance under mixed symmetries

Kim, Hyunsu; Lee, Hyungi; Yang, Hongseok; Lee, Juho, Fortieth International Conference on Machine Learning, International Conference on Machine Learning, 2023-07-23

14
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

15
Resource-Aware Program Analysis Via Online Abstraction Coarsening

Heo, Kihong; Oh, Hakjoo; Yang, Hongseok, The 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019), pp.94 - 104, ACM, IEEE, 2019-05-29

16
Scale mixtures of neural network Gaussian processes

Lee, Hyungi; Yun, Eunggu; Yang, Hongseok; Lee, Juho, Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, 2022-04-25

17
Selective context-sensitivity guided by impact pre-analysis

Oh, Hakjoo; Lee, Wonchan; Heo, Kihong; Yang, Hongseok; Yi, Kwangkeun, 35th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2014, pp.475 - 484, ACM Special Interest Group on Programming Languages (SIGPLAN), 2014-06-09

18
Some semantic issues in probabilistic programming languages

Yang, Hongseok, 4th International Conference on Formal Structures for Computation and Deduction, FSCD 2019, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2019-06

19
The Beta-Bernoulli process and algebraic effects

Staton, Sam; Stein, Dario; Yang, Hongseok; Ackerman, Nathanael L.; Freer, Cameron E.; Roy, Daniel M., The 45th International Colloquium on Automata, Languages, and Programming, ICALP 2018, pp.141:1 - 141:15, European Association for Theoretical Computer Science (EATCS), 2018-07-10

20
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

21
Trust Region Sequential Variational Inference

Kim, Geon-Hyeong; Jang, Youngsoo; Lee, Jongmin; Jeon, Wonseok; Yang, Hongseok; Kim, Kee-Eung, Conference on Asian Conference on Machine Learning (ACML 2019), Asian Conference on Machine Learning, 2019-11-19

22
Variational Inference for Sequential Data with Future Likelihood Estimates

Kim, Geon-Hyeong; Jang, Youngsoo; Yang, Hongseok; Kim, Kee-Eung, The 37th International Conference on Machine Learning (ICML 2020), pp.5252 - 5261, ICML Organisation, 2020-07-16

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