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05/26/2023
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
From clinical development of cancer therapies to investigations into par...
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10/17/2022
A Design-Based Riesz Representation Framework for Randomized Experiments
We describe a new design-based framework for drawing causal inference in...
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12/03/2021
Optimized variance estimation under interference and complex experimental designs
Unbiased and consistent variance estimators generally do not exist for d...
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04/06/2021
The Power of Subsampling in Submodular Maximization
We propose subsampling as a unified algorithmic technique for submodular...
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03/11/2021
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model
The bipartite experimental framework is a recently proposed causal setti...
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09/29/2020
Simultaneous Greedys: A Swiss Army Knife for Constrained Submodular Maximization
In this paper, we present SimultaneousGreedys, a deterministic algorithm...
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11/08/2019
Balancing covariates in randomized experiments using the Gram-Schmidt walk
The paper introduces a class of experimental designs that allows experim...
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04/19/2019
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
It is generally believed that submodular functions -- and the more gener...
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02/22/2018