Hongseok Yang
KAIST
H-index: 47
Asia-South Korea
Top articles of Hongseok Yang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets | Proceedings of the ACM on Programming Languages | Nate Ackerman Cameron E Freer Younesse Kaddar Jacek Karwowski Sean Moss | 2024/1/5 |
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information | Advances in Neural Information Processing Systems | Seokin Seo HyeongJoo Hwang Hongseok Yang Kee-Eung Kim | 2024/2/13 |
Smoothness analysis for probabilistic programs with application to optimised variational inference | Proceedings of the ACM on Programming Languages | Wonyeol Lee Xavier Rival Hongseok Yang | 2023/1/9 |
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network | arXiv preprint arXiv:2312.03386 | Taeyoung Kim Hongseok Yang | 2023/12/6 |
Semantics of higher-order probabilistic programs with continuous distributions | Proceedings of the ACM on Programming Languages | Fredrik Dahlqvist Dexter Kozen | 2019/12/20 |
Learning Symmetrization for Equivariance with Orbit Distance Minimization | arXiv preprint arXiv:2311.07143 | Tien Dat Nguyen Jinwoo Kim Hongseok Yang Seunghoon Hong | 2023/11/13 |
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility | Journal of Machine Learning Research | Hoil Lee Fadhel Ayed Paul Jung Juho Lee Hongseok Yang | 2023 |
Regularizing towards soft equivariance under mixed symmetries | Hyunsu Kim Hyungi Lee Hongseok Yang Juho Lee | 2023/7/3 | |
Alpha-stable convergence of heavy-/light-tailed infinitely wide neural networks | Advances in Applied Probability | Paul Jung Hoil Lee Jiho Lee Hongseok Yang | 2023 |
Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning | arXiv preprint arXiv:2302.01002 | Francois Caron Fadhel Ayed Paul Jung Hoil Lee Juho Lee | 2023/2/2 |
Learning symmetric rules with SATNet | Advances in Neural Information Processing Systems | Sangho Lim Eun-Gyeol Oh Hongseok Yang | 2022/12/6 |
Lobsdice: Offline learning from observation via stationary distribution correction estimation | Advances in Neural Information Processing Systems | Geon-Hyeong Kim Jongmin Lee Youngsoo Jang Hongseok Yang Kee-Eung Kim | 2022/12/6 |
A generalization of hierarchical exchangeability on trees to directed acyclic graphs | Annales Henri Lebesgue | Paul Jung Jiho Lee Sam Staton Hongseok Yang | 2021 |
DemoDice: Offline imitation learning with supplementary imperfect demonstrations | Geon-Hyeong Kim Seokin Seo Jongmin Lee Wonseok Jeon HyeongJoo Hwang | 2021/10/6 | |
Scale mixtures of neural network Gaussian processes | arXiv preprint arXiv:2107.01408 | Hyungi Lee Eunggu Yun Hongseok Yang Juho Lee | 2021/7/3 |
Probabilistic programs with stochastic conditioning | David Tolpin Yuan Zhou Tom Rainforth Hongseok Yang | 2021/7/1 | |
Meta-learning an inference algorithm for probabilistic programs | arXiv preprint arXiv:2103.00737 | Gwonsoo Che Hongseok Yang | 2021/3/1 |
Differentiable Algorithm for Marginalising Changepoints | Proceedings of the AAAI Conference on Artificial Intelligence | Hyoungjin Lim Gwonsoo Che Wonyeol Lee Hongseok Yang | 2020/4/3 |
Stochastically Differentiable Probabilistic Programs | arXiv preprint arXiv:2003.00704 | David Tolpin Yuan Zhou Hongseok Yang | 2020/3/2 |
Adaptive strategy for resetting a non-stationary markov chain during learning via joint stochastic approximation | Hyunsu Kim Juho Lee Hongseok Yang | 2020/11/23 |
Co-Authors
