Distilling Dataset into Neural Field.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Diffusion Rejection Sampling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Label-Noise Robust Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Training Unbiased Diffusion Models From Biased Dataset.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett., May, 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023
SAAL: Sharpness-Aware Active Learning.
Proceedings of the International Conference on Machine Learning, 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
CoRR, 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.
CoRR, 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.
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.
Proceedings of the International Conference on Machine Learning, 2022
Score Matching Model for Unbounded Data Score.
CoRR, 2021
Posterior-Aided Regularization for Likelihood-Free Inference.
CoRR, 2021
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.
Proceedings of the 8th International Conference on Learning Representations, 2020
Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes.
Math. Oper. Res., 2019
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning.
CoRR, 2018
Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model.
Oper. Res., 2017
Risk Propagation Through a Platform: The Failure Risk Perspective on Platform Sharing.
IEEE Trans. Engineering Management, 2015
OR Forum - Design of Risk Weights.
Oper. Res., 2014
Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems.
Oper. Res., 2014
Denoising Monte Carlo sensitivity estimates.
Oper. Res. Lett., 2012
Fast Simulation of Multifactor Portfolio Credit Risk.
Oper. Res., 2008
Exploiting regenerative structure to estimate finite time averages via simulation.
ACM Trans. Model. Comput. Simul., 2007
Price Competition with the Attraction Demand Model: Existence of Unique Equilibrium and Its Stability.
Manuf. Serv. Oper. Manag., 2006
Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk.
Proceedings of the Computational Science and Its Applications, 2006
Linear Convergence of Tatônnement in a Bertrand Oligopoly.
Proceedings of the Computational Science and Its Applications, 2006
Inverse conic programming with applications.
Oper. Res. Lett., 2005
Fast simulation for multifactor portfolio credit risk in the <i>t</i>-copula model.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005