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[1] Sébastien Bubeck,et al. Convex Optimization: Algorithms and Complexity , 2014, Found. Trends Mach. Learn..
[2] Yoram Singer,et al. Efficient Online and Batch Learning Using Forward Backward Splitting , 2009, J. Mach. Learn. Res..
[3] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[4] Christina Heinze-Deml,et al. Causal Structure Learning , 2017, 1706.09141.
[5] Bernhard Scholkopf. Causality for Machine Learning , 2019 .
[6] Gersende Fort,et al. On Perturbed Proximal Gradient Algorithms , 2014, J. Mach. Learn. Res..
[7] Stephen P. Boyd,et al. Proximal Algorithms , 2013, Found. Trends Optim..
[8] Bernhard Schölkopf,et al. Elements of Causal Inference: Foundations and Learning Algorithms , 2017 .
[9] Pietro Perona,et al. Estimating Causal Direction and Confounding of Two Discrete Variables , 2016, ArXiv.
[10] Leslie G. Valiant,et al. A general lower bound on the number of examples needed for learning , 1988, COLT '88.
[11] Bernhard Schölkopf,et al. On causal and anticausal learning , 2012, ICML.
[12] Yurii Nesterov,et al. Introductory Lectures on Convex Optimization - A Basic Course , 2014, Applied Optimization.
[13] Bernhard Schölkopf,et al. Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks , 2014, J. Mach. Learn. Res..
[14] Bernhard Schölkopf,et al. Causal Inference Using the Algorithmic Markov Condition , 2008, IEEE Transactions on Information Theory.
[15] Christopher Joseph Pal,et al. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms , 2019, ICLR.
[16] David Lopez-Paz,et al. Invariant Risk Minimization , 2019, ArXiv.
[17] Jonas Peters,et al. Causal inference by using invariant prediction: identification and confidence intervals , 2015, 1501.01332.
[18] HausslerDavid,et al. A general lower bound on the number of examples needed for learning , 1989 .
[19] Elias Bareinboim,et al. External Validity: From Do-Calculus to Transportability Across Populations , 2014, Probabilistic and Causal Inference.
[20] Ambuj Tewari,et al. Composite objective mirror descent , 2010, COLT 2010.
[21] Yoshua Bengio,et al. Learning Neural Causal Models from Unknown Interventions , 2019, ArXiv.
[22] Nicolai Meinshausen,et al. Causal Dantzig: Fast inference in linear structural equation models with hidden variables under additive interventions , 2017, The Annals of Statistics.
[23] Jin Tian,et al. Causal Discovery from Changes , 2001, UAI.
[24] Christina Heinze-Deml,et al. Invariant Causal Prediction for Nonlinear Models , 2017, Journal of Causal Inference.