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Kyra Gan
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Vertex Cover
Multiple Data Streams
Likelihood Ratio Test
Approximation Algorithms
Top Venues
CoRR
AISTATS
ML4H@NeurIPS
NeurIPS
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Publications
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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
(2024)
Brian Cho
,
Kyra Gan
,
Nathan Kallus
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams.
CoRR
(2024)
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
(2023)
Kyra Gan
,
Esmaeil Keyvanshokooh
,
Xueqing Liu
,
Susan Murphy
Contextual Bandits with Budgeted Information Reveal.
CoRR
(2023)
Ivana Malenica
,
Yongyi Guo
,
Kyra Gan
,
Stefan Konigorski
Anytime-valid inference in N-of-1 trials.
ML4H@NeurIPS
(2023)
Kyra Gan
,
Su Jia
,
Andrew A. Li
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing.
NeurIPS
(2021)
Kyra Gan
,
Su Jia
,
Andrew A. Li
Approximation Algorithms for Active Sequential Hypothesis Testing.
CoRR
(2021)
Kyra Gan
,
Andrew A. Li
,
Zachary Chase Lipton
,
Sridhar R. Tayur
Causal Inference with Selectively Deconfounded Data.
AISTATS
(2021)
Kyra Gan
,
Andrew A. Li
,
Zachary C. Lipton
,
Sridhar R. Tayur
Causal Inference With Selectively-Deconfounded Data.
CoRR
(2020)