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large dataset
large dataset
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gaussian process
(1200)
markov chain monte carlo
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scalable algorithm
(44)
approximation method
(5)
configuration selection
(3)
subset approximation
(1)
adaptive subsampling
(1)
large-scale inference
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progressive sampling
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query processing
(18)
Papers
Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining
NSDI 2024
Adaptive Cholesky Gaussian Processes
AISTATS 2023
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
ICML 2019
Efficient Identification of Approximate Best Configuration of Training in Large Datasets
AAAI 2019
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
ICML 2014
Stable and Efficient Gaussian Process Calculations
JMLR 2009
FilterBoost: Regression and Classification on Large Datasets
NIPS 2007
The Learning-Curve Sampling Method Applied to Model-Based Clustering
JMLR 2002
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