Recursive Partitioning for Personalization using Observational Data

31 August 2016

Papers citing "Recursive Partitioning for Personalization using Observational Data"

30 / 30 papers shown

Title
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 42 0 0 26 May 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects Masahiro Kato CML 45 1 0 05 Mar 2024
Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests Rahul Ladhania Jann Spiess Lyle Ungar Wenbo Wu CML 20 1 0 01 Nov 2023
Learning Optimal Classification Trees Robust to Distribution Shifts Nathan Justin S. Aghaei Andrés Gómez P. Vayanos OOD 47 0 0 26 Oct 2023
Learning Prescriptive ReLU Networks Wei-Ju Sun Asterios Tsiourvas 26 2 0 01 Jun 2023
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees Max Biggs Georgia Perakis 16 1 0 28 Feb 2023
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations Julien Grand-Clément Jean Pauphilet OffRL 125 13 0 05 Sep 2022
Approximating Permutations with Neural Network Components for Travelling Photographer Problem S. Chong 19 0 0 30 Apr 2022
Loss Functions for Discrete Contextual Pricing with Observational Data Max Biggs Ruijiang Gao Wei-Ju Sun 36 10 0 18 Nov 2021
Interpretable Personalized Experimentation Han Wu S. Tan Weiwei Li Mia Garrard Adam Obeng Drew Dimmery Shaun Singh Hanson Wang Daniel R. Jiang E. Bakshy 33 5 0 05 Nov 2021
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game Yuzi He Christopher Tran Julie Jiang Keith Burghardt Emilio Ferrara Elena Zheleva Kristina Lerman 27 10 0 27 Oct 2021
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments S. Parbhoo Stefan Bauer Patrick Schwab CML BDL 19 16 0 20 Mar 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 164 35 0 21 Jan 2021
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 32 48 0 17 Aug 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks Ioana Bica James Jordon M. Schaar CML 32 105 0 27 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett Nathan Kallus OffRL 31 17 0 12 Feb 2020
Policy Targeting under Network Interference Davide Viviano 43 33 0 24 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 26 155 0 01 Jun 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 30 16 0 14 Feb 2019
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 34 132 0 03 Feb 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 22 91 0 05 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 21 111 0 01 Oct 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data Dimitris Bertsimas Christopher McCord 34 27 0 11 Jul 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 40 152 0 22 May 2018
Active Learning with Logged Data Songbai Yan Kamalika Chaudhuri T. Javidi 40 27 0 25 Feb 2018
Policy Evaluation and Optimization with Continuous Treatments Nathan Kallus Angela Zhou OffRL 22 132 0 16 Feb 2018
Optimization of Tree Ensembles V. Mišić 29 101 0 30 May 2017
Balanced Policy Evaluation and Learning Nathan Kallus CML OffRL 25 141 0 21 May 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 32 183 0 09 Feb 2017
Model Selection for Treatment Choice: Penalized Welfare Maximization Eric Mbakop Max Tabord-Meehan 38 65 0 11 Sep 2016