Adjusting regression models for conditional uncertainty calibration von Gao, Ruijiang, Yin, Mingzhang, Mcinerney, James, Kallus, Nathan

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Topological data analysis in digital marketing von Lakshminarayan, Choudur, Yin, Mingzhang

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Conformal Sensitivity Analysis for Individual Treatment Effects von Yin, Mingzhang, Shi, Claudia, Wang, Yixin, Blei, David M.

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Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices von Dew, Ryan, Padilla, Nicolas, Luo, Lan E., Oblander, Shin, Ansari, Asim, Boughanmi, Khaled, Braun, Michael, Feinberg, Fred, Liu, Jia, Otter, Thomas, Tian, Longxiu, Wang, Yixin, Yin, Mingzhang

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Confounding-Robust Policy Improvement with Human-AI Teams von Gao, Ruijiang, Yin, Mingzhang

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Ordinal Preference Optimization: Aligning Human Preferences via NDCG von Zhao, Yang, Wang, Yixin, Yin, Mingzhang

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Adjusting Regression Models for Conditional Uncertainty Calibration von Gao, Ruijiang, Yin, Mingzhang, McInerney, James, Kallus, Nathan

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Confounding-Robust Policy Improvement with Human-AI Teams von Gao, Ruijiang, Yin, Mingzhang

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Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation von Zhou, Mingyuan, Zheng, Huangjie, Wang, Zhendong, Yin, Mingzhang, Huang, Hai

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Semi-Implicit Generative Model von Yin, Mingzhang, Zhou, Mingyuan

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Nonparametric Discrete Choice Experiments with Machine Learning Guided Adaptive Design von Yin, Mingzhang, Gao, Ruijiang, Lin, Weiran, Shugan, Steven M

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ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks von Yin, Mingzhang, Zhou, Mingyuan

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Optimization-based Causal Estimation from Heterogenous Environments von Yin, Mingzhang, Wang, Yixin, Blei, David M

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Semi-Implicit Variational Inference von Yin, Mingzhang, Zhou, Mingyuan

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Optimization-based Causal Estimation from Heterogenous Environments von Yin, Mingzhang, Wang, Yixin, Blei, David M

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Partial Identification with Noisy Covariates: A Robust Optimization Approach von Guo, Wenshuo, Yin, Mingzhang, Wang, Yixin, Jordan, Michael I

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Conformal Sensitivity Analysis for Individual Treatment Effects von Yin, Mingzhang, Shi, Claudia, Wang, Yixin, Blei, David M

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ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables von Yin, Mingzhang, Yue, Yuguang, Zhou, Mingyuan

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Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping von Kunes, Russell Z, Yin, Mingzhang, Land, Max, Haviv, Doron, Pe'er, Dana, Tavaré, Simon

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Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy von Tang, Yunhao, Yin, Mingzhang, Zhou, Mingyuan

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