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2020 – today
- 2024
[c6]Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy:
Contextual Bandits with Budgeted Information Reveal. AISTATS 2024: 3970-3978- [c5]Brian Cho, Kyra Gan, Nathan Kallus:
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams. ICML 2024 - [c4]Brian Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica:
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters. ICML 2024 - [i9]Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan A. Murphy:
Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration. CoRR abs/2402.01995 (2024) - [i8]Brian Cho, Kyra Gan, Nathan Kallus:
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams. CoRR abs/2402.06122 (2024) - [i7]Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan:
Hybrid Global Causal Discovery with Local Search. CoRR abs/2405.14496 (2024) - [i6]Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang:
Local Causal Discovery for Structural Evidence of Direct Discrimination. CoRR abs/2405.14848 (2024) - [i5]Brian Cho, Ana-Roxana Pop, Kyra Gan, Sam Corbett-Davies, Israel Nir, Ariel Evnine, Nathan Kallus:
CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies. CoRR abs/2408.12004 (2024) - 2023
- [c3]Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski:
Anytime-valid inference in N-of-1 trials. ML4H@NeurIPS 2023: 307-322 - [i4]Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy:
Contextual Bandits with Budgeted Information Reveal. CoRR abs/2305.18511 (2023) - [i3]Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang:
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs. CoRR abs/2310.17816 (2023) - 2021
- [c2]Kyra Gan, Andrew A. Li, Zachary Chase Lipton, Sridhar R. Tayur:
Causal Inference with Selectively Deconfounded Data. AISTATS 2021: 2791-2799 - [c1]Kyra Gan, Su Jia, Andrew A. Li:
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing. NeurIPS 2021: 5012-5024 - [i2]Kyra Gan, Su Jia, Andrew A. Li:
Approximation Algorithms for Active Sequential Hypothesis Testing. CoRR abs/2103.04250 (2021) - 2020
- [i1]Kyra Gan, Andrew A. Li, Zachary C. Lipton, Sridhar R. Tayur:
Causal Inference With Selectively-Deconfounded Data. CoRR abs/2002.11096 (2020)
Coauthor Index
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