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Towards Complete Causal Explanation with Expert Knowledge
Aparajithan Venkateswaran, Emilija Perkovic
Published 7/9/2024
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Stepping on the Edge: Curvature Aware Learning Rate Tuners
Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
Published 7/8/2024
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Bayesian Rank-Clustering
Michael Pearce, Elena A. Erosheva
Published 6/27/2024
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What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
Stephen Salerno, Emily K. Roberts, Belinda L. Needham, Tyler H. McCormick, Bhramar Mukherjee, Xu Shi
Published 6/27/2024
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Model-Based Inference and Experimental Design for Interference Using Partial Network Data
Steven Wilkins Reeves, Shane Lubold, Arun G. Chandrasekhar, Tyler H. McCormick
Published 6/17/2024
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Smoothed NPMLEs in nonparametric Poisson mixtures and beyond
Keunwoo Lim, Fang Han
Published 6/13/2024
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A Diagnostic Tool for Functional Causal Discovery
Shreya Prakash, Fan Xia, Elena Erosheva
Published 6/11/2024
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Data-adaptive exposure thresholds for the Horvitz-Thompson estimator of the Average Treatment Effect in experiments with network interference
Vydhourie Thiyageswaran, Tyler McCormick, Jennifer Brennan
Published 5/24/2024
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Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
Kentaro Hoffman, Stephen Salerno, Jeff Leek, Tyler McCormick
Published 5/22/2024
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Simplifying debiased inference via automatic differentiation and probabilistic programming
Alex Luedtke
Published 5/14/2024
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Bounds on the Distribution of a Sum of Two Random Variables: Revisiting a problem of Kolmogorov with application to Individual Treatment Effects
Zhehao Zhang, Thomas S. Richardson
Published 5/14/2024
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Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
Yikun Zhang, Yen-Chi Chen, Alexander Giessing
Published 5/14/2024
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Pure Significance Tests for Multinomial and Binomial Distributions: the Uniform Alternative
Michael D. Perlman
Published 4/19/2024
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Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models
Tong Xu, Armeen Taeb, Simge KÜçÜkyavuz, Ali Shojaie
Published 4/18/2024
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Robustly estimating heterogeneity in factorial data using Rashomon Partitions
Aparajithan Venkateswaran, Anirudh Sankar, Arun G. Chandrasekhar, Tyler H. McCormick
Published 4/2/2024
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From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives
Shuxian Fan, Adam Visokay, Kentaro Hoffman, Stephen Salerno, Li Liu, Jeffrey T. Leek, Tyler H. McCormick
Published 4/2/2024
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Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms
Tsuyoshi Kunihama, Zehang Richard Li, Samuel J. Clark, Tyler H. McCormick
Published 3/18/2024
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Extremal graphical modeling with latent variables
Sebastian Engelke, Armeen Taeb
Published 3/14/2024
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Non-robustness of diffusion estimates on networks with measurement error
Arun G. Chandrasekhar, Paul Goldsmith-Pinkham, Tyler H. McCormick, Samuel Thau, Jerry Wei
Published 3/8/2024
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Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference
Kentaro Hoffman, Kai Zhang, Tyler McCormick, Jan Hannig
Published 2/26/2024
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On Data Analysis Pipelines and Modular Bayesian Modeling
Erin Lipman, Abel Rodriguez
Published 2/6/2024
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Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
Lars van der Laan, Marco Carone, Alex Luedtke
Published 2/2/2024
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Assumptions and Bounds in the Instrumental Variable Model
Thomas S. Richardson, James M. Robins
Published 1/24/2024
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Do We Really Even Need Data?
Kentaro Hoffman, Stephen Salerno, Awan Afiaz, Jeffrey T. Leek, Tyler H. McCormick
Published 1/14/2024
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Estimation of subsidiary performance metrics under optimal policies
Zhaoqi Li, Houssam Nassif, Alex Luedtke
Published 1/8/2024
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