Kyra Gan

Affiliations:
  • Cornell Tech, USA


According to our database1, Kyra Gan authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
5
10
6
1
1
4
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits.
CoRR, 2024

LoSAM: Local Search in Additive Noise Models with Unmeasured Confounders, a Top-Down Global Discovery Approach.
CoRR, 2024

CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies.
CoRR, 2024

Local Causal Discovery for Structural Evidence of Direct Discrimination.
CoRR, 2024

Hybrid Global Causal Discovery with Local Search.
CoRR, 2024

Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration.
CoRR, 2024

Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contextual Bandits with Budgeted Information Reveal.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.
CoRR, 2023

Anytime-valid inference in N-of-1 trials.
Proceedings of the Machine Learning for Health, 2023

2021
Approximation Algorithms for Active Sequential Hypothesis Testing.
CoRR, 2021

Greedy Approximation Algorithms for Active Sequential Hypothesis Testing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Causal Inference with Selectively Deconfounded Data.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021


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