Articles by Jean Pouget-Abadie | Synthical

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16

Causal Bootstrap for General Randomized Designs

28 October 2024 by Jennifer Brennan and others

Reducing Symbiosis Bias Through Better A/B Tests of Recommendation Algorithms

22 October 2024 by Jennifer Brennan and others

Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference

20 May 2024 by Zahra Fatemi and others

Machine Learning, Social and Information Networks

Causal Inference with Differentially Private (Clustered) Outcomes

30 April 2024 by Adel Javanmard and others

Machine Learning, Cryptography and Security

Modeling Interference Using Experiment Roll-out

16 August 2023 by Ariel Boyarsky and others

Methodology, Econometrics

Causal Estimation of User Learning in Personalized Systems

1 June 2023 by Evan Munro and others

Methodology, Machine Learning

Cluster Randomized Designs for One-Sided Bipartite Experiments

28 October 2022 by Jennifer Brennan and others

Optimizing Randomized and Deterministic Saturation Designs under Interference

18 March 2022 by Chencheng Cai and others

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls

1 December 2021 by Nick Doudchenko and others

Methodology, Machine Learning

Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model

30 July 2021 by Christopher Harshaw and others

Methodology, Statistics Theory

Causal Inference with Bipartite Designs

15 October 2020 by Nick Doudchenko and others at

Randomized Experimental Design via Geographic Clustering

15 February 2019 by David Rolnick and others

Social and Information Networks, Data Structures and Algorithms

Optimizing cluster-based randomized experiments under a monotonicity assumption

7 March 2018 by Jean Pouget-Abadie and others

Testing for arbitrary interference on experimentation platforms

11 April 2017 by Jean Pouget-Abadie and others

Inferring Graphs from Cascades: A Sparse Recovery Framework

21 May 2015 by Jean Pouget-Abadie and Thibaut Horel

Social and Information Networks, Machine Learning

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation

7 October 2014 by Jean Pouget-Abadie and others

Computation and Language, Machine Learning

Generative Adversarial Networks

10 June 2014 by Ian Goodfellow and others

Machine Learning

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Topics

Methodology Machine Learning Social and Information Networks Econometrics Statistics Theory Cryptography and Security Data Structures and Algorithms Computation and Language Neural and Evolutionary Computing