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08/27/2023
Distributional Off-Policy Evaluation for Slate Recommendations
Recommendation strategies are typically evaluated by using previously lo...
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04/17/2023
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud
Several cloud-based applications, such as cloud gaming, rent servers to ...
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02/20/2023
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform
A/B tests are the gold standard for evaluating digital experiences on th...
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10/12/2022
Sample Constrained Treatment Effect Estimation
Treatment effect estimation is a fundamental problem in causal inference...
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08/25/2022
Learning Relational Causal Models with Cycles through Relational Acyclification
In real-world phenomena which involve mutual influence or causal effects...
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06/30/2022
Non-Parametric Inference of Relational Dependence
Independence testing plays a central role in statistical and causal infe...
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06/06/2022
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Search engines and recommendation systems attempt to continually improve...
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05/31/2022
Bayesian Modeling of Marketing Attribution
In a multi-channel marketing world, the purchase decision journey encoun...
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03/05/2022
Off-Policy Evaluation in Embedded Spaces
Off-policy evaluation methods are important in recommendation systems an...
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03/03/2022
Online Balanced Experimental Design
e consider the experimental design problem in an online environment, an ...
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02/22/2022
Relational Causal Models with Cycles:Representation and Reasoning
Causal reasoning in relational domains is fundamental to studying real-w...
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12/30/2021
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
Online reinforcement learning (RL) algorithms are often difficult to dep...
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10/13/2021
Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms
Gun violence is a critical public safety concern in the United States. I...
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03/11/2021
Doubly robust confidence sequences for sequential causal inference
This paper derives time-uniform confidence sequences (CS) for causal eff...
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02/04/2021
Online Discrepancy Minimization via Persistent Self-Balancing Walks
We study the online discrepancy minimization problem for vectors in ℝ^d ...
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10/23/2020
Heterogeneous Graphlets
In this paper, we introduce a generalization of graphlets to heterogeneo...
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10/21/2020
Efficient Balanced Treatment Assignments for Experimentation
In this work, we reframe the problem of balanced treatment assignment as...
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09/21/2020
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Leveraging text, such as social media posts, for causal inferences requi...
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09/08/2020
Designing Transportable Experiments
We consider the problem of designing a randomized experiment on a source...
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04/02/2020
General Identification of Dynamic Treatment Regimes Under Interference
In many applied fields, researchers are often interested in tailoring tr...
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01/16/2020
Inferring Individual Level Causal Models from Graph-based Relational Time Series
In this work, we formalize the problem of causal inference over graph-ba...
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06/09/2019
Balanced Off-Policy Evaluation in General Action Spaces
In many practical applications of contextual bandits, online learning is...
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06/09/2019
Balanced Off-Policy Evaluation General Action Spaces
In many practical applications of contextual bandits, online learning is...
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01/28/2019
Heterogeneous Network Motifs
Many real-world applications give rise to large heterogeneous networks w...
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01/04/2019
Permutation Weighting
This work introduces permutation weighting: a weighting estimator for ob...
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09/26/2013