NEON provides uncertainty-aware operator learning for composite Bayesian optimization in function spaces using a single network, achieving claimed SOTA with orders of magnitude fewer parameters than ensembles.
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cs.LG 2years
2024 2verdicts
UNVERDICTED 2representative citing papers
CSMC integrates column subset selection with low-rank matrix completion to reduce computation for asymmetric incomplete matrices while claiming competitive accuracy on synthetic and real tasks.
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Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
NEON provides uncertainty-aware operator learning for composite Bayesian optimization in function spaces using a single network, achieving claimed SOTA with orders of magnitude fewer parameters than ensembles.
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Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
CSMC integrates column subset selection with low-rank matrix completion to reduce computation for asymmetric incomplete matrices while claiming competitive accuracy on synthetic and real tasks.