Adaptive Instrument Design for Indirect Experiments

Adaptive Instrument Design for Indirect Experiments

5 December 2023

Vasilis Syrgkanis

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Papers citing "Adaptive Instrument Design for Indirect Experiments"

18 / 18 papers shown

Title
Efficient Adaptive Experimentation with Non-Compliance Miruna Oprescu Brian M Cho Nathan Kallus 167 0 0 23 May 2025
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 95 3 0 30 May 2024
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback Shang-ling Hsu Raj Sanjay Shah Prathik Senthil Zahra Ashktorab Casey Dugan Werner Geyer Diyi Yang 100 24 0 15 May 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 76 86 0 28 Feb 2023
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback R. D. Vecchia D. Basu 42 6 0 18 Feb 2023
If Influence Functions are the Answer, Then What is the Question? Juhan Bae Nathan Ng Alston Lo Marzyeh Ghassemi Roger C. Grosse TDI 92 103 0 12 Sep 2022
Gradient Estimation with Discrete Stein Operators Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 81 23 0 19 Feb 2022
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization P. Liotet Francesco Vidaich Alberto Maria Metelli Marcello Restelli OffRL 49 8 0 13 Dec 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe Shantanu Gupta Zachary Chase Lipton David Benjamin Childers CML 62 19 0 20 Aug 2021
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition Junkun Yuan Anpeng Wu Kun Kuang Yangqiu Song Runze Wu Leilei Gan Lanfen Lin CML 93 38 0 13 Jul 2021
Demystifying statistical learning based on efficient influence functions Oliver Hines O. Dukes Karla Diaz-Ordaz S. Vansteelandt TDI 191 117 0 01 Jul 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter Ayman Boustati Nikolas Nusken Francisco J. R. Ruiz Ömer Deniz Akyildiz DRL 198 52 0 20 Oct 2020
Learning Deep Features in Instrumental Variable Regression Liyuan Xu Yutian Chen Siddarth Srinivasan Nando de Freitas Arnaud Doucet Arthur Gretton CML OOD 83 71 0 14 Oct 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope Soheil Feizi TDI 125 235 0 25 Jun 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 118 415 0 06 Nov 2019
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines Cathy Wu Aravind Rajeswaran Yan Duan Vikash Kumar Alexandre M. Bayen Sham Kakade Igor Mordatch Pieter Abbeel OffRL 61 153 0 20 Mar 2018
Instrument-Armed Bandits Nathan Kallus 39 16 0 21 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 213 2,899 0 14 Mar 2017