large dataset

Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging ICML 2025 Feature Shift Localization Network ICML 2025 Scalable Gaussian Processes with Latent Kronecker Structure ICML 2025 Scalable Private Partition Selection via Adaptive Weighting ICML 2025 Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining NSDI 2024 Adaptive Cholesky Gaussian Processes AISTATS 2023 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets ICML 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 NeurIPS 2007 The Learning-Curve Sampling Method Applied to Model-Based Clustering JMLR 2002