Stevens, Rick

5 publications

TMLR 2025 Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Ashka Shah, Adela Frances DePavia, Nathaniel C Hudson, Ian Foster, Rick Stevens

ICLR 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew Walter, Yuxin Chen

ICMLW 2024 Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning Ashka Shah, Adela Frances DePavia, Nathaniel C Hudson, Ian Foster, Rick Stevens

NeurIPSW 2023 DrugImprover: Utilizing Reinforcement Learning for Multi-Objective Alignment in Drug Optimization Xuefeng Liu, Songhao Jiang, Archit Vasan, Alexander Brace, Ozan Gokdemir, Thomas Brettin, Fangfang Xia, Ian Foster, Rick Stevens

NeurIPS 2023 WordScape: A Pipeline to Extract Multilingual, Visually Rich Documents with Layout Annotations from Web Crawl Data Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang