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In many high-throughput experimental design settings, such as those common in biochemical engineering, batched queries are more cost effective than one-by-one sequential queries.
An analysis of approximations for maximizing submodular set functions—i
Nemhauser, G. L., Wolsey, L. A., and Fisher, M. L · 1978
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Kauffman, S. A. and Weinberger, E. D · 1989
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Dc programming: overview
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Batch mode active learning and its application to medical image classification
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Gaussian Processes for Machine Learning
Rasmussen, C. E. and Williams, C. K. I · 2006
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Efficient mini-batch training for stochastic optimization
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Pervasive degeneracy and epistasis in a protein-protein interface
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Optimization as estimation with gaussian processes in bandit settings
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Adaptation in protein fitness landscapes is facilitated by indirect paths
Wu, N. C., Dai, L., Olson, C. A., Lloyd-Smith, J. O., and Sun, R · 2016
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Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization
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Machine-learning-guided mutagenesis for directed evolution of fluorescent proteins
Saito, Y., Oikawa, M., Nakazawa, H., Niide, T., Kameda, T., Tsuda, K., and Umetsu, M · 2018
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Machine-learning-assisted directed protein evolution with combinatorial libraries
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