Wanmo Kang

According to our database, Wanmo Kang authored at least 29 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion Rejection Sampling.

Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Label-Noise Robust Diffusion Models.

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Unbiased Diffusion Models From Biased Dataset.

Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sequential Likelihood-Free Inference with Neural Proposal.

Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo

Pattern Recognit. Lett., May, 2023

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

SAAL: Sharpness-Aware Active Learning.

Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2023

2022

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.

Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon

CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon

CoRR, 2022

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.

Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

Proceedings of the International Conference on Machine Learning, 2022

2021

Score Matching Model for Unbounded Data Score.

Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon

CoRR, 2021

Posterior-Aided Regularization for Likelihood-Free Inference.

Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon

CoRR, 2021

Improved Regret Bounds of Bilinear Bandits using Action Space Analysis.

Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang

Proceedings of the 38th International Conference on Machine Learning, 2021

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.

Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.

Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes.

Wanmo Kang, Jong Mun Lee

Math. Oper. Res., 2019

2018

Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning.

Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang

CoRR, 2018

2017

Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model.

Chulmin Kang, Wanmo Kang, Jong Mun Lee

Oper. Res., 2017

2015

Risk Propagation Through a Platform: The Failure Risk Perspective on Platform Sharing.

Changmuk Kang, Yoo Suk Hong, Woonghee Tim Huh, Wanmo Kang

IEEE Trans. Engineering Management, 2015

2014

OR Forum - Design of Risk Weights.

Paul Glasserman, Wanmo Kang

Oper. Res., 2014

Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems.

Marco Bijvank, Woonghee Tim Huh, Ganesh Janakiraman, Wanmo Kang

Oper. Res., 2014

2012

Denoising Monte Carlo sensitivity estimates.

Wanmo Kang, Kyoung-Kuk Kim, Hayong Shin

Oper. Res. Lett., 2012

2008

Fast Simulation of Multifactor Portfolio Credit Risk.

Paul Glasserman, Wanmo Kang, Perwez Shahabuddin

Oper. Res., 2008

2007

Exploiting regenerative structure to estimate finite time averages via simulation.

Wanmo Kang, Perwez Shahabuddin, Ward Whitt

ACM Trans. Model. Comput. Simul., 2007

2006

Price Competition with the Attraction Demand Model: Existence of Unique Equilibrium and Its Stability.

Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips

Manuf. Serv. Oper. Manag., 2006

Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk.

Wanmo Kang, Kyungsik Lee

Proceedings of the Computational Science and Its Applications, 2006

Linear Convergence of Tatônnement in a Bertrand Oligopoly.

Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips

Proceedings of the Computational Science and Its Applications, 2006

2005

Inverse conic programming with applications.

Garud Iyengar, Wanmo Kang

Oper. Res. Lett., 2005

Fast simulation for multifactor portfolio credit risk in the <i>t</i>-copula model.

Wanmo Kang, Perwez Shahabuddin

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005