Paik, Myunghee Cho

11 publications

AAAI 2024 Mixed-Effects Contextual Bandits Kyungbok Lee, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim

AAAI 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik

ICML 2023 Semi-Parametric Contextual Pricing Algorithm Using Cox Proportional Hazards Model Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-Hwan Oh

AISTATS 2023 Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits Wonyoung Kim, Myunghee Cho Paik, Min-Hwan Oh

NeurIPS 2021 Doubly Robust Thompson Sampling with Linear Payoffs Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik

AAAI 2021 Kernel-Convoluted Deep Neural Networks with Data Augmentation Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik

AISTATS 2020 Lipschitz Continuous Autoencoders in Application to Anomaly Detection Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik

MLJ 2020 Principled Analytic Classifier for Positive-Unlabeled Learning via Weighted Integral Probability Metric Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik

ICML 2020 Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik

ICML 2019 Contextual Multi-Armed Bandit Algorithm for Semiparametric Reward Model Gi-Soo Kim, Myunghee Cho Paik

NeurIPS 2019 Doubly-Robust Lasso Bandit Gi-Soo Kim, Myunghee Cho Paik