Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport

arXiv:2603.01771v2 Announce Type: replace Abstract: Neural networks (NNs) often have critical behavioural trade-offs that are set at design time with hyperparameters-such as reward weights in reinforcement learning or quantile targets in regression. Post-deployment, however, u...

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