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08/02/2023
Causal Inference with Differentially Private (Clustered) Outcomes
Estimating causal effects from randomized experiments is only feasible i...
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06/01/2023
Causal Estimation of User Learning in Personalized Systems
In online platforms, the impact of a treatment on an observed outcome ma...
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09/29/2022
Sequential Attention for Feature Selection
Feature selection is the problem of selecting a subset of features for a...
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09/10/2022
Fairness in the Autobidding World with Machine-learned Advice
The increasing availability of real-time data has fueled the prevalence ...
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02/12/2022
From Online Optimization to PID Controllers: Mirror Descent with Momentum
We study a family of first-order methods with momentum based on mirror d...
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07/16/2021
Bidding and Pricing in Budget and ROI Constrained Markets
In online advertising markets, setting budget and return on investment (...
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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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10/04/2018
Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems
Consider the following class of learning schemes: β̂ := β∈C ∑_j=1^n ℓ(x_...
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12/28/2017
