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pro vyhledávání: '"Yang, Bangding"'
With the rise of large language models (LLMs) for flexibly processing information as strings, a natural application is regression, specifically by preprocessing string representations into LLM embeddings as downstream features for metric prediction.
Externí odkaz:
http://arxiv.org/abs/2411.14708
Autor:
Nguyen, Tung, Zhang, Qiuyi, Yang, Bangding, Lee, Chansoo, Bornschein, Jorg, Miao, Yingjie, Perel, Sagi, Chen, Yutian, Song, Xingyou
Bayesian Optimization is ubiquitous in the field of experimental design and blackbox optimization for improving search efficiency, but has been traditionally restricted to regression models which are only applicable to fixed search spaces and tabular
Externí odkaz:
http://arxiv.org/abs/2410.10190
Autor:
Song, Xingyou, Li, Oscar, Lee, Chansoo, Yang, Bangding, Peng, Daiyi, Perel, Sagi, Chen, Yutian
Over the broad landscape of experimental design, regression has been a powerful tool to accurately predict the outcome metrics of a system or model given a set of parameters, but has been traditionally restricted to methods which are only applicable
Externí odkaz:
http://arxiv.org/abs/2402.14547