Predictive uncertainty
PulseAugur coverage of Predictive uncertainty — every cluster mentioning Predictive uncertainty across labs, papers, and developer communities, ranked by signal.
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New research tackles knowledge graph embedding challenges and uncertainty
Two new arXiv papers delve into the complexities of knowledge graph embedding (KGE) and representation learning. The first paper introduces KGATE, a modular Python library designed to streamline the training and compari…
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LLM uncertainty signals can rank risk in network configuration translations
Researchers have developed a method to assess the risk associated with network configurations generated by large language models (LLMs). By analyzing predictive uncertainty and token-level entropy, they can rank potenti…
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Researchers advise against using Gaussian kernels in machine learning
A recent paper argues against the widespread use of the Gaussian kernel in machine learning tasks like regression and classification. The authors contend that this kernel, also known as the squared exponential or radial…
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New sparse Gaussian process framework tackles quantile regression challenges
Researchers have developed a novel sparse Gaussian process framework to address the computational challenges in Bayesian quantile regression. This new approach utilizes a reduced set of inducing variables and a Laplace …