Effective Missing Value Imputation Methods for Building Monitoring Data. - Brian Cho 001; Teresa Dayrit; Yuan Gao; Zhe Wang 051; Tianzhen Hong; Alex Sim; Kesheng Wu (IEEE BigData, 2020)

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams. - Brian Cho 001; Kyra Gan; Nathan Kallus (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 (ICML, 2024)

Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits. - Brian M. Cho; Dominik Meier; Kyra Gan; Nathan Kallus (AISTATS, 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 (KDD (1), 2025)

SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement. - Brian M. Cho; Ana-Roxana Pop; Ariel Evnine; Nathan Kallus (CoRR, 2025)

Efficient Adaptive Experimentation with Non-Compliance. - Miruna Oprescu; Brian M. Cho; Nathan Kallus (CoRR, 2025)

Simulation-Based Inference for Adaptive Experiments. - Brian M. Cho; Aurélien Bibaut; Nathan Kallus (CoRR, 2025)