Birs- 18w5054: Workshop on the Interface of Machine Learning and Statistical Inference
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Title: Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Transparency and Intelligibility in Machine Learning
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Title: Stability and Iterative Random Forests
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Title: Inference and Variable Selection for Random Forests
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Title: Inference for Functionals of Machine Learning Estimators
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Title: Consistency of Random Forests
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Title: High dimensional inference: do we need sparsity?
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Title: Transformation Forests
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Title: Random Forests - a Statistical Tool for the Sciences
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Title: The Remarkable Flexibility of BART
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Title: Bayesian GANs and Stochastic MCMC
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Title: Knockoffs: using machine learning for finite-sample controlled variable selection in nonparametric models
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Title: SHOPPER: A PROBABILISTIC MODEL OF CONSUMER CHOICE WITH SUBSTITUTES AND COMPLEMENTS
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Title: Causal inferences that capitalizes on machine learning and statistics: opportunities and challenges
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Title: Targeted Learning: Integrating the State of the Art of Machine Learning with Statistical Inference
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Title: Generalized Optimal Matching for Inference and Policy Learning
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Title: A Greedy Gradient Q-learning Approach for Constructing Optimal Policies in Infinite Time Horizon Settings
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Title: "Algorithmic bias": Practical and technical challenges
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