A parameter-free algorithm for group-conditional online conformal prediction that achieves optimal coverage guarantees without learning-rate tuning.
Parameter-free stochastic optimization of variationally coherent functions
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Large empirical study of 56 optimizers on 1092 BBVI tasks finds no single winner but a selection of five suffices for near-best performance.
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Parameter-Free and Group Conditional Online Conformal Prediction
A parameter-free algorithm for group-conditional online conformal prediction that achieves optimal coverage guarantees without learning-rate tuning.
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Large-scale empirical tuning and comparison of default optimizers for variational inference
Large empirical study of 56 optimizers on 1092 BBVI tasks finds no single winner but a selection of five suffices for near-best performance.