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Uncertainty is critical to reliable decision-making with machine learning.
The role of exchangeability in inference
Lindley, D. V. and Novick, M. R · 1981
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Algorithmic learning in a random world , volume 29
Vovk, V., Gammerman, A., and Shafer, G · 2005
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A tutorial on conformal prediction
Shafer, G. and Vovk, V · 2008
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Causality
Pearl, J · 2009
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A stochastic differential equation sis epidemic model
Gray, A., Greenhalgh, D., Hu, L., Mao, X., and Pan, J · 2011
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Scikit-learn: Machine learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E · 2011
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Cross-conformal predictors
Vovk, V · 2012
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Traffic flow dynamics
Treiber, M. and Kesting, A · 2013
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Elements of causal inference: foundations and learning algorithms
Peters, J., Janzing, D., and Schölkopf, B · 2017
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Predictive inference with the jackknife+
Barber, R. F., Candès, E. J., Ramdas, A., and Tibshirani, R. J · 2019
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Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Cui, Z., Henrickson, K., Ke, R., and Wang, Y · 2019
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Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
Guo, S., Lin, Y., Feng, N., Song, C., and Wan, H · 2019
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Conformalized quantile regression
Romano, Y., Patterson, E., and Candès, E. J · 2019
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Conformal prediction under covariate shift
Tibshirani, R. J., Foygel Barber, R., Candes, E., and Ramdas, A · 2019
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An efficient algorithm for solving the fractional optimal control of sirv epidemic model with a combination of vaccination and treatment
Ameen, I., Baleanu, D., and Ali, H. M · 2020
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Sustainable development of fintech: Focused on uncertainty and perceived quality issues
Ryu, H.-S. and Ko, K. S · 2020
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Conformal prediction: a unified review of theory and new challenges
Zeni, G., Fontana, M., and Vantini, S · 2020
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Adaptive conformal inference under distribution shift
Gibbs, I. and Candes, E · 2021
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Immune-mediated attenuation of influenza illness after infection: opportunities and challenges
Patel, M. M., York, I. A., Monto, A. S., Thompson, M. G., and Fry, A. M · 2021
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Conformal prediction interval for dynamic time-series
Xu, C. and Xie, Y · 2021
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Stable conformal prediction sets
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Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network
Bellocchi, L. and Geroliminis, N · 2020
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A sir model assumption for the spread of covid-19 in different communities
Cooper, I., Mondal, A., and Antonopoulos, C. G · 2020
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Cola-gnn: Cross-location attention based graph neural networks for long-term ili prediction
Deng, S., Wang, S., Rangwala, H., Wang, L., and Ning, Y · 2020
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Joint causal inference from multiple contexts
Mooij, J. M., Magliacane, S., and Claassen, T · 2020
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Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candès, E. J · 2020
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Ndiaye, E · 2022
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Conformal prediction beyond exchangeability
Barber, R. F., Candes, E. J., Ramdas, A., and Tibshirani, R. J · 2023
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Probabilistically robust conformal prediction
Ghosh, S., Shi, Y., Belkhouja, T., Yan, Y., Doppa, J., and Jones, B · 2023
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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Seoni, S., Jahmunah, V., Salvi, M., Barua, P. D., Molinari, F., and Acharya, U. R · 2023
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Reaction-diffusion graph ordinary differential equation networks: Traffic-law-informed speed prediction under mismatched data
Sun, Y., Chen, C., Xu, Y., Xie, S., Blum, R. S., and Venkitasubramaniam, P · 2023
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