13 citations · 23 across the 5 of their papers we have counts for
5 papers
Causal Survival Forests with Negative Controls
Zijun Gao, Kyoungeui Hong, Leyi Ma +3
We study heterogeneous treatment-effect (HTE) estimation in observational survival studies commonly associated with both censored outcomes and unmeasured confounding. We integrate…
Data-Driven Subgroup Identification for Linear Regression
Zachary Izzo, Ruishan Liu, James Zou
Medical studies frequently require to extract the relationship between each covariate and the outcome with statistical confidence measures. To do this, simple parametric models are…
Learning transport cost from subset correspondence
Ruishan Liu, Akshay Balsubramani, James Zou
Learning to align multiple datasets is an important problem with many applications, and it is especially useful when we need to integrate multiple experiments or correct for confou…
Teacher-Student Compression with Generative Adversarial Networks
Ruishan Liu, Nicolo Fusi, Lester Mackey
More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy on CPU- or memory-constrained devices. Teacher-student…
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu, James Zou
Experience replay is a key technique behind many recent advances in deep reinforcement learning. Allowing the agent to learn from earlier memories can speed up learning and break u…