Kim, Woo Chang

6 publications

AAAI 2025 Locally Convex Global Loss Network for Decision-Focused Learning Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong Kim, Woo Chang Kim

ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woo Chang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio

ICML 2024 Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko, Kyurae Kim, Woo Chang Kim, Jacob R. Gardner

NeurIPSW 2023 Learning to Scale Logits for Temperature-Conditional GFlowNets Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woo Chang Kim, Jinkyoo Park, Yoshua Bengio

ICLRW 2023 Multilevel Approach to Efficient Gradient Calculation in Stochastic Systems Joohwan Ko, Michael Poli, Stefano Massaroli, Woo Chang Kim

ICML 2023 Transformer-Based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim