Yu, Christina

8 publications

AISTATS 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference Under Network Interference Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Yu

NeurIPSW 2023 Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He, Christina Yu, Ziv Goldfeld

NeurIPSW 2022 A Causal Inference Framework for Network Interference with Panel Data Sarah Huiyi Cen, Anish Agarwal, Christina Yu, Devavrat Shah

NeurIPSW 2022 Exploiting Neighborhood Interference with Low Order Interactions Under Unit Randomized Design Mayleen Cortez, Matthew Eichhorn, Christina Yu

NeurIPSW 2022 Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure Xumei Xi, Christina Yu, Yudong Chen

NeurIPS 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge Mayleen Cortez, Matthew Eichhorn, Christina Yu

NeurIPS 2020 Adaptive Discretization for Model-Based Reinforcement Learning Sean Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Yu

NeurIPS 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric Nirandika Wanigasekara, Christina Yu