effective dimension
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Bilinear bandits (Jun et al., 2019; Lu et al., 2021; Kang et al., 2022) are an important class of
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Statistical and Computational Trade-Offs in Kernel K-Means
Daniele Calandriello, Lorenzo Rosasco
More precisely, we study a Nyström approach to kernel k-means. Weanalyze thestatistical properties oftheproposed method andshow that it achieves the same accuracy of exact kernel k-means with only a fraction of computations.
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Can Unconditional Language Models Recover Arbitrary Sentences?
Nishant Subramani, Samuel Bowman, Kyunghyun Cho
Neural Information Processing Systems http://nips.cc/
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Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
A prime example is single-cell RNA sequencing (scRNA-seq) data (Figure 1).
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Provably Strict Generalisation Benefit for Invariance in Kernel Methods
It is a commonly held belief that enforcing invariance improves generalisation.
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