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Showing papers from CyberAgent, NII, RIKEN AIP Show all papers

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NeurIPS 2026CyberAgent, NII, RIKEN AIPLearning theory

Simple Projection-Free Algorithm for Contextual Recommendation with Logarithmic Regret and Robustness

A projection-free second-order perceptron-style algorithm achieves O(d log T) contextual recommendation regret without Mahalanobis projections, improves efficiency over ONS, and remains robust to suboptimal feedback.

Shinsaku Sakaue

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026OralCyberAgent, NII, RIKEN AIPNational Institute of InformaticLearning theory

From Average Sensitivity to Small-Loss Regret Bounds under Random-Order Model

Average sensitivity of offline approximations yields small-loss regret bounds via batch-to-online conversion in random-order online learning.

Shinsaku Sakaue, Yuichi Yoshida

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
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strict 1/5