A key difference between the two paradigms is the way of achieving data abstraction. That is, how to organize data with associated operations. There are ...
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This paper presents a bidirectional transformation system between functional and object-oriented decomposition.
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Vol-3250/bxpaper2 - Decomposition Without Regret (Poster)
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Vol-3250/bxpaper1⫷Vol-3250/bxpaper2⫸Vol-3250/bxpaper3. Weixin Zhang Cristina David Meng Wang (disambiguation). Decomposition Without Regret (Poster)
We introduce a novel contextual bandit algorithm for top-k recommendations, leveraging a Gaussian process with a Kendall kernel to model the reward function.
To generalize Tucker decomposition to such scenarios, we propose Functional Bayesian Tucker Decomposition (FunBaT). We treat the continuous-indexed data as ...
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We prove that our algorithm achieves sublinear regret without error cancellations. ... We show that classic decomposition procedures do not satisfy this property.
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests. Spotlight Poster.
NeurIPS 2024 poster; Readers: Everyone. No-Regret Bandit Exploration based on Soft Tree Ensemble Model · Shogo Iwazaki, Shinya Suzumura. Published: 25 Sept 2024 ...