v1v2 (latest)

Targeting for long-term outcomes

29 October 2020

Papers citing "Targeting for long-term outcomes"

23 / 23 papers shown

Title
Identification and Estimation of Long-Term Treatment Effects with Monotone Missing Qinwei Yang Ruocheng Guo Shasha Han Peng Wu 53 0 0 28 Apr 2025
When Is Heterogeneity Actionable for Personalization? Anya Shchetkina Ron Berman 105 0 0 25 Nov 2024
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices Aurélien F. Bibaut Nathan Kallus Apoorva Lal CML 88 0 0 20 Jun 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards Peng Wu Ziyu Shen Feng Xie Zhongyao Wang Chunchen Liu Yan Zeng 72 8 0 06 May 2024
Long-term Off-Policy Evaluation and Learning Yuta Saito Himan Abdollahpouri Jesse Anderton Ben Carterette M. Lalmas OffRL 80 8 0 24 Apr 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Leilei Gan Kun Kuang 84 0 0 05 Mar 2024
Ensemble sampling for linear bandits: small ensembles suffice David Janz A. Litvak Csaba Szepesvári 143 1 0 14 Nov 2023
Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash Yixin Tang Yicong Lin Navdeep S. Sahni 34 0 0 10 Nov 2023
Machine Learning Who to Nudge: Causal vs Predictive Targeting in a Field Experiment on Student Financial Aid Renewal Susan Athey Niall Keleher Jann Spiess 51 15 0 12 Oct 2023
Online learning in bandits with predicted context Yongyi Guo Ziping Xu Susan Murphy 56 4 0 26 Jul 2023
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay Thomas M. McDonald Lucas Maystre M. Lalmas Daniel Russo K. Ciosek OffRL 57 17 0 19 Jul 2023
Learning under random distributional shifts Kirk Bansak E. Paulson Dominik Rothenhäusler OOD 48 4 0 05 Jun 2023
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling Susobhan Ghosh Raphael Kim Prasidh Chhabria Raaz Dwivedi Predrag Klasjna Peng Liao Kelly Zhang Susan Murphy OffRL 72 9 0 11 Apr 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 70 6 0 15 Mar 2023
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective Lucas Maystre Daniel Russo Yu Zhao OffRL 49 9 0 07 Feb 2023
Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning Susan Athey Undral Byambadalai Vitor Hadad Sanath Kumar Krishnamurthy Weiwen Leung Joseph Jay Williams 91 13 0 22 Nov 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 101 21 0 13 Sep 2022
An Analysis of Ensemble Sampling Chao Qin Zheng Wen Xiuyuan Lu Benjamin Van Roy 124 22 0 02 Mar 2022
Long-term Causal Inference Under Persistent Confounding via Data Combination Guido Imbens Nathan Kallus Xiaojie Mao Yuhao Wang CML 115 49 0 15 Feb 2022
Semiparametric Estimation of Long-Term Treatment Effects Jiafeng Chen David M. Ritzwoller 73 21 0 30 Jul 2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters Carlos Fernández-Loría F. Provost CML 67 45 0 08 Apr 2021
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions Yanbo Xu Divyat Mahajan Liz Manrao Amit Sharma Emre Kıcıman CML 37 2 0 11 Nov 2020
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation Carlos Fernández-Loría F. Provost J. Anderton Benjamin Carterette Praveen Chandar CML 74 19 0 24 Apr 2020