5 problems
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Bian et al.'s stability conjecture for training-conditional coverage
Let a distribution-free prediction method be applied to a training dataset, and consider its training-conditional coverage guarantee. Bian et al.'s stability conjecture. An assumpt…
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Chen et al.'s quadratic stability conjecture for accelerated gradient descent
Let Nesterov's accelerated gradient method be applied to a general convex and smooth objective, and let uniform stability measure the sensitivity of its output to changes in one op…
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Conjecture on broader stability of the accelerated-gradient counterexample
Let the counterexample constructed in the paper establish failure of initial-value stability for standard deterministic accelerated gradient descent, even for strongly convex and s…
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Conjectured stability bounds for Nesterov and heavy-ball methods
Nesterov–heavy-ball stability conjecture. The stability bounds of NAG and HB should continue to hold in the general convex smooth setting.
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Conjectured stability bound for Nesterov accelerated gradient on convex smooth losses
Nesterov stability conjecture. The same stability bound should hold for general convex smooth loss functions.