Modern sequential monitoring problems often involve multiple metrics, where we monitor several data streams simultaneously and may act once the evidence is strong enough. Confidence sequences (CSs) are a natural tool for such continuous monitoring. However, for bounded vector means, existing multivariate CSs are either...
Fabian Denoodt, Sibylle Hess, J. Vanschoren et al.· 0 citations
A lightweight diagnostic is introduced, D_{\rm logdet}=-\frac{1}{2}\log\det R_{\rm res}$, which represents the idealised joint negative log-likelihood (NLL) gain from modelling a full rather than diagonal residual covariance and is computable from independent GPs alone.
A framework for efficient scaling law construction that formulates data collection as a Bayesian optimization problem is proposed, and metrics for comparing scaling law fitting methods under constrained compute budgets are introduced.
TimeSage-EV is introduced, a live benchmark for agentic time series analysis in evolving environments that evaluates state identification, data summarization, and outlook reasoning, and is released as a research resource with monthly updates, code, a leaderboard, and failure-mode analyses.
Qingren Yao, Ya-Xuan Kong, Yuqi Nie et al.· 0 citations
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