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Estimating counterfactual outcomes over time from observational data is relevant for many applications (e.g., personalized medicine).
On the application of probability theory to agricultural experiments
Neyman, J. S · 1923
Earlier work this paper cites.
Bayesian inference for causal effects: The role of randomization
Rubin, D. B · 1978
Earlier work this paper cites.
A new approach to causal inference in mortality studies with a sustained exposure period: Application to control of the healthy worker survivor effect
Robins, J · 1986
Earlier work this paper cites.
A learning algorithm for continually running fully recurrent neural networks
Williams, R. J. and Zipser, D · 1989
Earlier work this paper cites.
Effective long-term treatment of obesity: a continuing care model
Latner, J., Stunkard, A., Wilson, G., Jackson, M., Zelitch, D., and Labouvie, E · 2000
Earlier work this paper cites.
Marginal structural models and causal inference in epidemiology, 2000
Robins, J. M., Hernan, M. A., and Brumback, B · 2000
Earlier work this paper cites.
Marginal structural models to estimate the joint causal effect of nonrandomized treatments
Hernán, M. A., Brumback, B., and Robins, J. M · 2001
Earlier work this paper cites.
Targeted maximum likelihood learning
van der Laan, M. J. and Rubin, D · 2006
Earlier work this paper cites.
Liberal vs. conservative vasopressor use to maintain mean arterial blood pressure during resuscitation of septic shock: an observational study
Subramanian, S., Yilmaz, M., Rehman, A., Hubmayr, R. D., Afessa, B., and Gajic, O · 2008
Earlier work this paper cites.
Estimation of the causal effects of time-varying exposures
Robins, J. M. and Hernán, M. A · 2009
Earlier work this paper cites.
Informer: Beyond efficient transformer for long sequence time-series forecasting
Zhou, H., Zhang, S., Peng, J., Zhang, S., Li, J., Xiong, H., and Zhang, W · 2009
Earlier work this paper cites.
BART: Bayesian additive regression trees
Chipman, H. A., George, E. I., and McCulloch, R. E · 2010
Earlier work this paper cites.
Analysis of multi-stage treatments for recurrent diseases
Huang, X. and Ning, J · 2012
Earlier work this paper cites.
Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children’s cognitive outcomes
Hill, J. and Su, Y.-S · 2013
Earlier work this paper cites.
The long-term effects of type 1 diabetes treatment and complications on health-related quality of life: a 23-year follow-up of the diabetes control and complications/epidemiology of diabetes interventions and complications cohort
Jacobson, A. M., Braffett, B. H., Cleary, P. A., Gubitosi-Klug, R. A., Larkin, M. E., and research group, D · 2013
Earlier work this paper cites.
Dropout: A simple way to prevent neural networks from overfitting
Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Ganin, Y. and Lempitsky, V · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2015
Earlier work this paper cites.
Can we measure long-term treatment effects in multiple sclerosis?
Sormani, M. P. and Bruzzi, P · 2015
Earlier work this paper cites.
Simultaneous deep transfer across domains and tasks
Tzeng, E., Hoffman, J., Darrell, T., and Saenko, K · 2015
Earlier work this paper cites.
Ba, J. L., Kiros, J. R., and Hinton, G. E · 2016
Cited alongside, same era.
Learning representations for counterfactual inference
Johansson, F., Shalit, U., and Sontag, D · 2016
Cited alongside, same era.
MIMIC-III: A freely accessible critical care database
Johnson, A. E., Pollard, T. J., Shen, L., Li-Wei, H. L., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., and Mark, R. G · 2016
Cited alongside, same era.
A non-parametric Bayesian approach for estimating treatment-response curves from sparse time series
Xu, Y., Xu, Y., and Saria, S · 2016
Cited alongside, same era.
Prediction of treatment response for combined chemo-and radiation therapy for non-small cell lung cancer patients using a bio-mathematical model
Geng, C., Paganetti, H., and Grassberger, C · 2017
Cited alongside, same era.
Enhancing the transformer with explicit relational encoding for math problem solving
Schlag, I., Smolensky, P., Fernandez, R., Jojic, N., Schmidhuber, J., and Gao, J · 2019
Later among the works it cites.
DropAttention: A regularization method for fully-connected self-attention networks
Zehui, L., Liu, P., Huang, L., Chen, J., Qiu, X., and Huang, X · 2019
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Estimating counterfactual treatment outcomes over time through adversarially balanced representations
Bica, I., Alaa, A. M., Jordon, J., and van der Schaar, M · 2020
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Language models are few-shot learners
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J. D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2020
Later among the works it cites.
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Variational Fourier features for Gaussian processes
Hensman, J., Durrande, N., Solin, A., et al · 2017
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Reliable decision support using counterfactual models
Schulam, P. and Saria, S · 2017
Cited alongside, same era.
Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions
Soleimani, H., Subbaswamy, A., and Saria, S · 2017
Cited alongside, same era.
Adversarial discriminative domain adaptation
Tzeng, E., Hoffman, J., Saenko, K., and Darrell, T · 2017
Cited alongside, same era.
Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I · 2017
Cited alongside, same era.
Input combination strategies for multi-source transformer decoder
Libovický, J., Helcl, J., and Mareček, D · 2018
Cited alongside, same era.
Forecasting treatment responses over time using recurrent marginal structural networks
Lim, B., Alaa, A., and van der Schaar, M · 2018
Cited alongside, same era.
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al · 2020
Later among the works it cites.
MIMIC-extract: A data extraction, preprocessing, and representation pipeline for MIMIC-III
Wang, S., McDermott, M. B., Chauhan, G., Ghassemi, M., Hughes, M. C., and Naumann, T · 2020
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Analyzing patient trajectories with artificial intelligence
Allam, A., Feuerriegel, S., Rebhan, M., Krauthammer, M., et al · 2021
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Disentangled counterfactual recurrent networks for treatment effect inference over time
Berrevoets, J., Curth, A., Bica, I., McKinney, E., and van der Schaar, M · 2021
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Nonparametric estimation of heterogeneous treatment effects: From theory to learning algorithms
Curth, A. and van der Schaar, M · 2021
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Attention is not all you need: Pure attention loses rank doubly exponentially with depth
Dong, Y., Cordonnier, J.-B., and Loukas, A · 2021
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Sequential deconfounding for causal inference with unobserved confounders
Hatt, T. and Feuerriegel, S · 2021
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Deconfounding temporal autoencoder: estimating treatment effects over time using noisy proxies
Kuzmanovic, M., Hatt, T., and Feuerriegel, S · 2021
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G-Net: A deep learning approach to G-computation for counterfactual outcome prediction under dynamic treatment regimes
Li, R., Shahn, Z., Li, J., Lu, M., Chakraborty, P., Sow, D., Ghalwash, M., and Lehman, L.-W. H · 2021
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CPTR: Full transformer network for image captioning
Liu, W., Chen, S., Guo, L., Zhu, X., and Liu, J · 2021
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Pretrained transformers as universal computation engines
Lu, K., Grover, A., Abbeel, P., and Mordatch, I · 2021
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SyncTwin: Treatment effect estimation with longitudinal outcomes
Qian, Z., Zhang, Y., Bica, I., Wood, A., and van der Schaar, M · 2021
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Probabilistic transformer for time series analysis
Tang, B. and Matteson, D · 2021
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Estimating average causal effects from patient trajectories
Frauen, D., Hatt, T., Melnychuk, V., and Feuerriegel, S · 2022
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Estimating conditional average treatment effects with missing treatment information
Kuzmanovic, M., Hatt, T., and Feuerriegel, S · 2022
Closest in time.