3 papers
cs.LG2026
Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs
Kai Hidajat
In a changing decision problem, standard dynamic-regret analyses have often equated the cost of non-stationarity to how far loss moves. However, it is simultaneously possible for a…
cs.LG2026
Martingale Neural Operators: Learning Stochastic Marginals via Doob-Meyer Factorization
Kai Hidajat
Neural operators excel as deterministic surrogates, but inevitably collapse to the conditional mean when applied to stochastic PDEs, discarding the variance and tail structure upon…
cs.LG2026
Grokking as Structural Inference: Transformers Need Bayesian Lottery Tickets
Kai Hidajat, Solden Stoll, Joseph An
Why does a Transformer that has memorized its training set wait thousands of steps before it generalizes? Existing accounts locate this delay in norm minimization, feature emergenc…