Fetching the paper…
Reading the bibliography…
Experimental design techniques such as active search and Bayesian optimization are widely used in the natural sciences for data collection and discovery.
Diversity and Evenness: A Unifying Notation and Its Consequences
Hill, M. O. (1973) · 1973
Earlier work this paper cites.
An Analysis of Approximations for Maximizing Submodular Set Functions—I
Nemhauser, G. L., Wolsey, L. A., and Fisher, M. L. (1978) · 1978
Earlier work this paper cites.
Nonequilibrium Phase Diagrams of Ternary Amorphous Alloys
Kawazoe, Y., Yu, J.-Z., Tsai, A.-P., and Masumoto, T., editors (1997) · 1997
Earlier work this paper cites.
Multidimensional Scaling
Cox, T. F. and Cox, M. A. (2001) · 2001
Earlier work this paper cites.
Using Confidence Bounds for Exploitation-Exploration Trade-offs
Auer, P. (2002) · 2002
Earlier work this paper cites.
Near-optimal Observation Selection using Submodular Functions
Krause, A. and Guestrin, C. (2007) · 2007
Earlier work this paper cites.
Bayesian Optimal Active Search and Surveying
Garnett, R., Krishnamurthy, Y., Xiong, X., Schneider, J., and Mann, R. (2012) · 2012
Earlier work this paper cites.
Determinantal Point Processes for Machine Learning
Kulesza, A. and Taskar, B. (2012) · 2012
Earlier work this paper cites.
Auto-Encoding Variational Bayes
Kingma, D. P. and Welling, M. (2013) · 2013
Earlier work this paper cites.
Discovering Valuable Items from Massive Data
Vanchinathan, H. P., Marfurt, A., Robelin, C.-A., Kossmann, D., and Krause, A. (2015) · 2015
Earlier work this paper cites.
A general-purpose machine learning framework for predicting properties of inorganic materials
Ward, L., Agrawal, A., Choudhary, A., and Wolverton, C. (2016) · 2016
Cited alongside, same era.
Efficient Nonmyopic Active Search
Jiang, S., Malkomes, G., Converse, G., Shofner, A., Moseley, B., and Garnett, R. (2017) · 2017
Cited alongside, same era.
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Xiao, H., Rasul, K., and Vollgraf, R. (2017) · 2017
Cited alongside, same era.
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Gómez-Bombarelli, R., Wei, J. N., Duvenaud, D., Hernández-Lobato, J. M., Sánchez-Lengeling, B., Sheberla, D., Aguilera-Iparraguirre, J., Hirzel, T. D., Adams, R. P., and Aspuru-Guzik, A. (2018) · 2018
Cited alongside, same era.
A Tutorial on Thompson Sampling
Russo, D. J., Van Roy, B., Kazerouni, A., Osband, I., and Wen, Z. (2018) · 2018
Cited alongside, same era.
Bayesian Optimization
Garnett, R. (2022) · 2022
Later among the works it cites.
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
Nava, E., Mutny, M., and Krause, A. (2022) · 2022
Later among the works it cites.
Towards Mode Balancing of Generative Models via Diversity Weights
Berns, S., Colton, S., and Guckelsberger, C. (2023) · 2023
Later among the works it cites.
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Friedman, D. and Dieng, A. B. (2023) · 2023
Later among the works it cites.
Discovering Many Diverse Solutions with Bayesian Optimization
Maus, N., Wu, K., Eriksson, D., and Gardner, J. (2023) · 2023
Later among the works it cites.
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Active model learning and diverse action sampling for task and motion planning
Wang, Z., Garrett, C. R., Kaelbling, L. P., and Lozano-Pérez, T. (2018) · 2018
Cited alongside, same era.
Scalable Global Optimization via Local Bayesian Optimization
Eriksson, D., Pearce, M., Gardner, J., Turner, R. D., and Poloczek, M. (2019) · 2019
Cited alongside, same era.
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
Malkomes, G., Cheng, B., Lee, E. H., and Mccourt, M. (2021) · 2021
Cited alongside, same era.
Efficient Discovery of Visible Light-Activated Azoarene Photoswitches with Long Half-Lives Using Active Search
Mukadum, F., Nguyen, Q., Adrion, D. M., Appleby, G., Chen, R., Dang, H., Chang, R., Garnett, R., and Lopez, S. A. (2021) · 2021
Cited alongside, same era.
Nonmyopic Multifidelity Acitve Search
Nguyen, Q., Modiri, A., and Garnett, R. (2021) · 2021
Cited alongside, same era.
Nguyen, Q. and Garnett, R. (2023) · 2023
Later among the works it cites.
Pasarkar, A. and Dieng, A. B. (2023) · 2023
Later among the works it cites.
Vendi Sampling For Molecular Simulations: Diversity As A Force For Faster Convergence And Better Exploration
Pasarkar, A. P., Bencomo, G. M., Olsson, S., and Dieng, A. B. (2023) · 2023
Later among the works it cites.
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning
Wu, S., Lu, K., Xu, B., Lin, J., Su, Q., and Zhou, C. (2023) · 2023
Later among the works it cites.
Diversity-driven, efficient exploration of a mof design space to optimize mof properties: application to nh3 adsorption
Liu, T.-W., Nguyen, Q., Dieng, A. B., and Gomez-Gualdron, D. (2024) · 2024
Closest in time.