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Inference for ATE & GLM’s when p/n→δ∈(0,∞)
On February 7, 2025 at 11:00 am till 12:00 pm E18-304Abstract In this talk we will discuss statistical inference of average treatment effect in measured confounder settings as well as parallel questions of inferring linear and quadratic functionals in generalized linear models under high dimensional proportional asymptotic settings i.e. when p/n→δ∈(0,∞) where p, n denote the dimension of the covariates and the sample size respectively…
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Deep Learning Methods for Public Health Prediction
On December 10, 2024 at 2:00 pm till 3:00 pm E18-304Alexander Rodríguez, University of Michigan
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Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
On December 6, 2024 at 11:00 am till 12:00 pm E18-304Jing Lei, Carnegie Mellon University
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Statistical Inference with Limited Memory
On November 22, 2024 at 11:00 am till 12:00 pm E18-304Ofer Shayevitz, Tel Aviv University
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Evaluating a black-box algorithm: stability, risk, and model comparisons
On November 15, 2024 at 11:00 am till 12:00 pm E18-304Rina Foygel Barber, University of Chicago
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Scaling Limits of Neural Networks
On November 8, 2024 at 11:00 am till 12:00 pm E18-304Boris Hanin, Princeton University
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The Conflict Graph Design: Estimating Causal Effects Under Interference
On November 1, 2024 at 11:00 am till 12:00 pm E18-304Christopher Harshaw, Columbia University
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A Flexible Defense Against the Winner’s Curse
On October 25, 2024 at 11:00 am till 12:00 pm E18-304Abstract: Across science and policy, decision-makers often need to draw conclusions about the best candidate among competing alternatives. For instance, researchers may seek to infer the effectiveness of the most successful treatment or determine which demographic group benefits most from a specific treatment. Similarly, in machine learning, practitioners are often interested in the population performance of…
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Sampling through optimization of divergences on the space of measures
On October 18, 2024 at 11:00 am till 12:00 pm E18-304Anna Korba, ENSAE/CREST
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Central Limit Theorems for Smooth Optimal Transport Maps
On October 11, 2024 at 11:00 am till 12:00 pm E18-304Tudor Manole, MIT


