Fast simulation for multifactor portfolio credit risk in the t-copula model. - Wanmo Kang; Perwez Shahabuddin (WSC, 2005)

Inverse conic programming with applications. - Garud Iyengar; Wanmo Kang (Oper. Res. Lett., 2005)

Linear Convergence of Tatônnement in a Bertrand Oligopoly. - Guillermo Gallego 001; Woonghee Tim Huh; Wanmo Kang; Robert Phillips (ICCSA (3), 2006)

Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk. - Wanmo Kang; Kyungsik Lee (ICCSA (3), 2006)

Price Competition with the Attraction Demand Model: Existence of Unique Equilibrium and Its Stability. - Guillermo Gallego 001; Woonghee Tim Huh; Wanmo Kang; Robert Phillips (Manuf. Serv. Oper. Manag., 2006)

Exploiting regenerative structure to estimate finite time averages via simulation. - Wanmo Kang; Perwez Shahabuddin; Ward Whitt (ACM Trans. Model. Comput. Simul., 2007)

Fast Simulation of Multifactor Portfolio Credit Risk. - Paul Glasserman; Wanmo Kang; Perwez Shahabuddin (Oper. Res., 2008)

Denoising Monte Carlo sensitivity estimates. - Wanmo Kang; Kyoung-Kuk Kim; Hayong Shin (Oper. Res. Lett., 2012)

Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems. - Marco Bijvank; Woonghee Tim Huh; Ganesh Janakiraman; Wanmo Kang (Oper. Res., 2014)

OR Forum - Design of Risk Weights. - Paul Glasserman; Wanmo Kang (Oper. Res., 2014)

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)

Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model. - Chulmin Kang; Wanmo Kang; Jong Mun Lee (Oper. Res., 2017)

Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. - Cheolhyoung Lee; Kyunghyun Cho; Wanmo Kang (CoRR, 2018)

Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes. - Wanmo Kang; Jong Mun Lee (Math. Oper. Res., 2019)

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. - Cheolhyoung Lee; Kyunghyun Cho; Wanmo Kang (ICLR, 2020)

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. - Hyemi Kim; Seungjae Shin; JoonHo Jang; Kyungwoo Song; Weonyoung Joo; Wanmo Kang; Il-Chul Moon (AAAI, 2021)

Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. - Kyoungseok Jang; Kwang-Sung Jun; Se-Young Yun; Wanmo Kang (ICML, 2021)

Posterior-Aided Regularization for Likelihood-Free Inference. - Dongjun Kim; Kyungwoo Song; Seungjae Shin; Wanmo Kang; Il-Chul Moon (CoRR, 2021)

Score Matching Model for Unbounded Data Score. - Dongjun Kim; Seungjae Shin; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (CoRR, 2021)

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 (ICML, 2022)

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. - Dongjun Kim; Byeonghu Na; Se Jung Kwon; Dongsoo Lee; Wanmo Kang; Il-Chul Moon (NeurIPS, 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)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. - Dongjun Kim; Yeongmin Kim; Wanmo Kang; Il-Chul Moon (CoRR, 2022)

SAAL: Sharpness-Aware Active Learning. - Yoon-Yeong Kim; Youngjae Cho; JoonHo Jang; Byeonghu Na; Yeongmin Kim; Kyungwoo Song; Wanmo Kang; Il-Chul Moon (ICML, 2023)

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. - Dongjun Kim; Yeongmin Kim; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (ICML, 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., 2023)

Training Unbiased Diffusion Models From Biased Dataset. - Yeongmin Kim; Byeonghu Na; Minsang Park; JoonHo Jang; Dongjun Kim; Wanmo Kang; Il-Chul Moon (ICLR, 2024)

Label-Noise Robust Diffusion Models. - Byeonghu Na; Yeongmin Kim; HeeSun Bae; Jung Hyun Lee; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (ICLR, 2024)

Diffusion Rejection Sampling. - Byeonghu Na; Yeongmin Kim; Minsang Park; DongHyeok Shin; Wanmo Kang; Il-Chul Moon (ICML, 2024)