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cs.LG2026
Precision autotuning for linear solvers via contextual bandit-based RL
Erin Carson, Xinye Chen
We propose a reinforcement learning (RL) framework for adaptive precision tuning for linear solvers, which can be extended to general algorithms. The framework is formulated as a c…
cs.LG2022★ 1 cited
An efficient aggregation method for the symbolic representation of temporal data
Xinye Chen, Stefan Güttel
Symbolic representations are a useful tool for the dimension reduction of temporal data, allowing for the efficient storage of and information retrieval from time series. They can…