Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Gradient Equilibrium in Online Learning: Theory and Applications
We present a new perspective on online learning that we refer to as gradient equilibrium: a
sequence of iterates achieves gradient equilibrium if the average of gradients of losses …
sequence of iterates achieves gradient equilibrium if the average of gradients of losses …
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
A fundamental question in data-driven decision making is how to quantify the uncertainty of
predictions in ways that can usefully inform downstream action. This interface between …
predictions in ways that can usefully inform downstream action. This interface between …
Distributed Conformal Prediction via Message Passing
Post-hoc calibration of pre-trained models is critical for ensuring reliable inference,
especially in safety-critical domains such as healthcare. Conformal Prediction (CP) offers a …
especially in safety-critical domains such as healthcare. Conformal Prediction (CP) offers a …
Robust Bayesian Optimization via Localized Online Conformal Prediction
Bayesian optimization (BO) is a sequential approach for optimizing black-box objective
functions using zeroth-order noisy observations. In BO, Gaussian processes (GPs) are …
functions using zeroth-order noisy observations. In BO, Gaussian processes (GPs) are …