Gan, Kyra

14 publications

UAI 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery Sujai Hiremath, Promit Ghosal, Kyra Gan

AAAI 2025 Local Causal Discovery for Structural Evidence of Direct Discrimination Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang

NeurIPS 2025 Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect Ruiyang Lin, Yongyi Guo, Kyra Gan

AISTATS 2025 Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits Brian M Cho, Dominik Meier, Kyra Gan, Nathan Kallus

NeurIPS 2025 Targeted Maximum Likelihood Learning: An Optimization Perspective Diyang Li, Kyra Gan

NeurIPS 2025 When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery Dominik Meier, Sujai Hiremath, Promit Ghosal, Kyra Gan

AISTATS 2024 Contextual Bandits with Budgeted Information Reveal Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan Murphy

NeurIPS 2024 Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models Sujai Hiremath, Jacqueline Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan

ICML 2024 Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing Without Influence Functions for Many Target Parameters Brian M Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica

UAI 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

ICML 2024 Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams Brian M Cho, Kyra Gan, Nathan Kallus

NeurIPSW 2023 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

AISTATS 2021 Causal Inference with Selectively Deconfounded Data Kyra Gan, Andrew Li, Zachary Lipton, Sridhar Tayur

NeurIPS 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing Kyra Gan, Su Jia, Andrew Li