61 citations · 112 across the 19 of their papers we have counts for
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cs.LG2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models
Vincent Lim, Ellen Novoseller, Jeffrey Ichnowski +2
For applications in healthcare, physics, energy, robotics, and many other fields, designing maximally informative experiments is valuable, particularly when experiments are expensi…
cs.LG2021★ 20 cited
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato +6
First-order methods for quadratic optimization such as OSQP are widely used for large-scale machine learning and embedded optimal control, where many related problems must be rapid…