Preprints

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates

Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui
Published 7/13/2022
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Inference after latent variable estimation for single-cell RNA sequencing data

Anna Neufeld, Lucy L. Gao, Joshua Popp, Alexis Battle, Daniela Witten
Published 7/1/2022
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On the validity of bootstrap uncertainty estimates in the Mallows-Binomial model

Michael Pearce, Elena A. Erosheva
Published 6/24/2022
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Limit theorems of Chatterjee's rank correlation

Zhexiao Lin, Fang Han
Published 4/17/2022
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Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm

Rahul Biswas, Eli Shlizerman
Published 4/10/2022
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Complexity Bounds of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control

Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui
Published 4/5/2022
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Provable concept learning for interpretable predictions using variational autoencoders

Armeen Taeb, Nicolo Ruggeri, Carina Schnuck, Fanny Yang
Published 4/1/2022
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Estimating the Ratio of Means in a Zero-inflated Poisson Mixture Model

Michael D. Perlman
Published 3/26/2022
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Variable elimination, graph reduction and efficient g-formula

F. Richard Guo, Emilija Perkovic, Andrea Rotnitzky
Published 2/24/2022
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Variable elimination, graph reduction and efficient g-formula

F. Richard Guo, Emilija Perkovic, Andrea Rotnitzky
Published 2/24/2022
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On Optimal Early Stopping: Over-informative versus Under-informative Parametrization

Ruoqi Shen, Liyao Gao, Yi-An Ma
Published 2/20/2022
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Individualized treatment rules under stochastic treatment cost constraints

Hongxiang Qiu, Marco Carone, Alex Luedtke
Published 1/17/2022
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A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review

Michael Pearce, Elena A. Erosheva
Published 1/7/2022
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Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates

Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zaid Harchaoui
Published 12/31/2021
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Estimation based on nearest neighbor matching: from density ratio to average treatment effect

Zhexiao Lin, Peng Ding, Fang Han
Published 12/26/2021
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Efficient Estimation of the Maximal Association between Multiple Predictors and a Survival Outcome

Tzu-Jung Huang, Alex Luedtke, Ian W. McKeague
Published 12/21/2021
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Improved Efficiency for Cross-Arm Comparisons via Platform Designs

Tzu-Jung Huang, Alex Luedtke, the AMP Investigators Group
Published 12/20/2021
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Sequential Estimation of Temporally Evolving Latent Space Network Models

Kathryn Turnbull, Christopher Nemeth, Matthew Nunes, Tyler McCormick
Published 12/19/2021
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Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression

Anupreet Porwal, Abel Rodriguez
Published 12/5/2021
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Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance

Fang Han, Zhen Miao, Yandi Shen
Published 12/4/2021
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Target Propagation via Regularized Inversion

Vincent Roulet, Zaid Harchaoui
Published 12/2/2021
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Efficient Estimation Under Data Fusion

Sijia Li, Alex Luedtke
Published 11/29/2021
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Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study

Rahul Biswas, Eli Shlizerman
Published 11/2/2021
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Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach

Yikun Zhang, Yen-Chi Chen
Published 10/16/2021
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Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation

Steven Wilkins-Reeves, Yen-Chi Chen, Kwun Chuen Gary Chan
Published 10/12/2021
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