Tony Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Causal Inference

Top Venues

Nat. Comput. Sci.

Publications

Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, Brett Mensh, John W. Krakauer, Konrad P. Kording
Computational kinematics of dance: distinguishing hip hop genres. Frontiers Robotics AI 11 (2024)
Tony Liu, Lyle H. Ungar, Konrad P. Kording, Morgan McGuire
Measuring Causal Effects of Civil Communication without Randomization. ICWSM (2024)
Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording, Rahul Ladhania
Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery. Trans. Mach. Learn. Res. 2023 (2023)
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording
A large language model-assisted education tool to provide feedback on open-ended responses. CoRR (2023)
Tony Liu, Patrick N. Lawlor, Lyle Ungar, Konrad P. Kording
Data-driven exclusion criteria for instrumental variable studies. CLeaR (2022)
Tony Liu, Lyle H. Ungar, Konrad P. Kording
Quantifying causality in data science with quasi-experiments. Nat. Comput. Sci. 1 (1) (2021)
Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle Ungar
Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (4) (2019)