5 citations · 20 across the 30 of their papers we have counts for
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cs.LG2022★ 3 cited
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu +11
Recently, successful applications of reinforcement learning to chip placement have emerged. Pretrained models are necessary to improve efficiency and effectiveness. Currently, the…
cs.LG2022★ 2 cited
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
Sattar Vakili, Jonathan Scarlett, Da-shan Shiu +1
Kernel-based models such as kernel ridge regression and Gaussian processes are ubiquitous in machine learning applications for regression and optimization. It is well known that a…