Andrew Tang — accepted AI-conference papers

2025

ClusterSC: Advancing Synthetic Control with Donor Selection

Saeyoung Rho, Andrew Tang, Noah Bergam, Rachel Cummings, Vishal Misra

AISTATS 2025poster

In causal inference with observational studies, synthetic control (SC) has emerged as a prominent tool. SC has traditionally been applied to aggregate-level datasets, but more recent work has extended its use to individual-level data. As they contain a greater number of observed units, this shift in…

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2022

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu +4

NeurIPS 2022accept

Autonomous agents have made great strides in specialist domains like Atari games and Go. However, they typically learn tabula rasa in isolated environments with limited and manually conceived objectives, thus failing to generalize across a wide spectrum of tasks and capabilities. Inspired by how hum…

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