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A Framework and Benchmark for Deep Batch Active Learning for Regression

, , , and . Journal of Machine Learning Research, 24 (164): 1--81 (2023)

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An Oracle Inequality for Clipped Regularized Risk Minimizers., , and . NIPS, page 1321-1328. MIT Press, (2006)How SVMs can estimate quantiles and the median., and . NIPS, page 305-312. Curran Associates, Inc., (2007)Exploring chemical and conformational spaces by batch mode deep active learning, , , and . Digital Discovery, (2022)Sobolev norm learning rates for regularized least-squares algorithm, and . arXiv e-prints, (May 2019)Convergence types and rates in generic Karhunen-Loève expansions with applications to sample path properties. Potential analysis, 49 (1): 1-35 (2018)Universal kernels on non-standard input spaces, and . Advances in neural information processing systems 23 : 24th Annual Conference on Neural Information Processing Systems 2010, 1, page 406-414. Red Hook, NY, Curran, (2011)Translation invariant maps on function spaces over locally compact groups, , , and . Journal of Mathematical Analysis and Applications, 470 (2): 795-820 (2019)A Framework and Benchmark for Deep Batch Active Learning for Regression, , , and . arXiv:2203.09410, (2022)Published version: support vector machines for anomalous change detection, , and . 2010 IEEE International Geoscience and Remote Sensing Symposium, 5, page 3732-3735. Piscataway, NJ, IEEE, (2010)Robust learning from bites for data mining, , and . Computational statistics & data analysis, 52 (1): 347-361 (2007)