Brian Cho

According to our database, Brian Cho authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function.

Brian M. Cho, Raaz Dwivedi, Nathan Kallus

CoRR, February, 2026

Exploration in the Limit.

Brian M. Cho, Nathan Kallus

CoRR, January, 2026

2025

Efficient Adaptive Experimentation with Non-Compliance.

Miruna Oprescu, Brian M. Cho, Nathan Kallus

CoRR, May, 2025

SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement.

Brian M. Cho, Ana-Roxana Pop, Ariel Evnine, Nathan Kallus

CoRR, March, 2025

Simulation-Based Inference for Adaptive Experiments.

Brian Cho, Aurélien Bibaut, Nathan Kallus

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Brian M. Cho, Ana-Roxana Pop, Kyra Gan, Sam Corbett-Davies, Israel Nir, Ariel Evnine, Nathan Kallus

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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

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.

Brian Cho, Kyra Gan, Nathan Kallus

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2020

Effective Missing Value Imputation Methods for Building Monitoring Data.

Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020