Heterogeneous Treatment Effect Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (38 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Generalized Random Forests
  5 Oct 2016 5 repositories listed
  We propose generalized random forests, a method for non-parametric statistical estimation based on random forests (Breiman, 2001) that can be used to fit any quantity of interest identified as the solution to a set of…
• Estimating individual treatment effect: generalization bounds and algorithms
  13 Jun 2016 4 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We give a novel, simple and intuitive generalization-error bound showing that the expected ITE estimation error of a representation is bounded by a sum of the standard generalization-error of that representation and the…
• Local Linear Forests
  30 Jul 2018 3 repositories listed
  Random forests are a powerful method for non-parametric regression, but are limited in their ability to fit smooth signals, and can show poor predictive performance in the presence of strong, smooth effects.
• Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
  23 Feb 2023 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We study the problem of inferring heterogeneous treatment effects (HTEs) from time-to-event data in the presence of competing events.
• On Inductive Biases for Heterogeneous Treatment Effect Estimation
  7 Jun 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We investigate how to exploit structural similarities of an individual's potential outcomes (POs) under different treatments to obtain better estimates of conditional average treatment effects in finite samples.
• Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  13 Dec 2017 2 repositories listed
  We first estimate marginal effects and treatment propensities in order to form an objective function that isolates the causal component of the signal.
• CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
  9 Jun 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  CausalPFN combines ideas from Bayesian causal inference with the large-scale training protocol of prior-fitted networks (PFNs), learning to map raw observations directly to causal effects without any task-specific…
• TabPFN: One Model to Rule Them All?
  26 May 2025 1 repository listed
  Hollmann et al.
• Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
  3 Jul 2024 1 repository listed
  Heterogeneous treatment effect (HTE) estimation is vital for understanding the change of treatment effect across individuals or subgroups.
• Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
  26 Apr 2024 1 repository listed
  There is a growing interest in estimating heterogeneous treatment effects across individuals using their high-dimensional feature attributes.
• Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
  29 Jan 2024 1 repository listed
  Heterogeneous treatment effect estimation is an important problem in precision medicine.
• Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
  16 Dec 2023 1 repository listed
  We propose a Bayesian inference framework that quantifies the uncertainty in treatment effect estimation to support decision-making in a relatively small sample size setting.
• In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
  6 Feb 2023 1 repository listed
  Personalized treatment effect estimates are often of interest in high-stakes applications -- thus, before deploying a model estimating such effects in practice, one needs to be sure that the best candidate from the…
• Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
  25 Jun 2022 1 repository listed
  To address this problem, we develop a feature selection method that considers each feature's value for HTE estimation and learns the relevant parts of the causal structure from data.
• Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
  2 Feb 2022 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  Previous works on Treatment Effect Estimation (TEE) are not in widespread use because they are predominantly theoretical, where strong parametric assumptions are made but untractable for practical application.
• Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation
  19 Jul 2020 1 repository listed
  To unbiasedly learn to rank, existing counterfactual frameworks first estimate the propensity (probability) of missing clicks with intervention data from a small portion of search traffic, and then use inverse…
• Learning Triggers for Heterogeneous Treatment Effects
  31 Jan 2019 1 repository listed
  The causal effect of a treatment can vary from person to person based on their individual characteristics and predispositions.
• Non-Parametric Inference Adaptive to Intrinsic Dimension
  11 Jan 2019 1 repository listed
  We show that if the intrinsic dimension of the covariate distribution is equal to d, then the finite sample estimation error of our estimator is of order n^(-1/(d+2)) and our estimate is n^(1/(d+2))-asymptotically…
• Some methods for heterogeneous treatment effect estimation in high-dimensions
  1 Jul 2017 1 repository listed
  When devising a course of treatment for a patient, doctors often have little quantitative evidence on which to base their decisions, beyond their medical education and published clinical trials.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.