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Vaneet Aggarwal

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#machine learning Preprint Aug 2026

Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids: From Robust Offline Optimization to Full-Bandit Learning

The main result is an adversarial resilience theorem for the Spiteful Greedy Swap Poisson Process (SGS-Poisson): without modifying its Poisson intensity, single-element exchange rule, or spiteful drop step, the algorithm retains limiting approximation factors for non-monotone objectives and $1-1/e for monotone objectiv...

Vaneet Aggarwal · 0 citations

Preprint Jul 2026

Parameter-Free Dynamic Regret for Online Convex Optimization under Heavy-Tailed Noise

HT-PAder is proposed, a parameter-free algorithm combining restarted AdaGrad experts over a geometric pool of block lengths with a pathwise meta-algorithm, which requires no moment conditions on meta-losses and provides the first parameter-free minimax universal dynamic regret guarantee.

Vaneet Aggarwal · 0 citations