Publications
Learning Decision Policies with Instrumental Variables through Double Machine Learning
International Conference on Machine Learning (ICML), 2024
A Universal Class of Sharpness-Aware Minimization Algorithms
International Conference on Machine Learning (ICML), 2024
On Scale-Invariant Sharpness Measures
Mathematics of Modern Machine Learning (M3L @ NeurIPS workshop), 2023
DRCFS: Doubly Robust Causal Feature Selection
International Conference on Machine Learning (ICML), 2023
Causal Feature Selection via Orthogonal Search
Transactions on Machine Learning Research (TMLR), 2022
Pyfectious: A probabilistic hierarchical simulator of infectious diseases and fine-grained control measures
PLOS Computational Biology 19(1): e1010799, 2023
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
International Conference on Learning Representations (ICLR), 2022
Adaptive Experimental Design and Active Learning in the Real World (ReALML @ ICML workshop), 2022, (Spotlight Presentation)
Adaptive Experimental Design and Active Learning in the Real World (ReALML @ ICML workshop), 2022, (Spotlight Presentation)
Preprints
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database
arXiv:2204.09328, 2021
Physical Derivatives: Computing policy gradients by physical forward-propagation
arXiv:2201.05830, 2021
Doubly Robust Structure Identification from Temporal Data
arXiv:2311.06012, 2023
* denotes equal collaborations.