On the public citation graph

DNet: Distributional Network for Distributional Individualized Treatment Effects

0 signed · 32 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-92185-1_63openalex-snapshot

Budget Constrained Bidding in Keyword Auctions and Online Knapsack Problems

inferredcites →https://doi.org/10.1073/pnas.1804597116openalex-snapshot

Metalearners for estimating heterogeneous treatment effects using machine learning

inferredcites →https://doi.org/10.1080/00031305.1997.10473959openalex-snapshot

Quantile Curves without Crossing

inferredcites →https://doi.org/10.1080/01621459.1986.10478354openalex-snapshot

Statistics and Causal Inference

inferredcites →https://doi.org/10.1080/01621459.1999.10473832openalex-snapshot

Methods for Estimating a Conditional Distribution Function

inferredcites →https://doi.org/10.1080/01621459.2017.1319839openalex-snapshot

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

inferredcites →https://doi.org/10.1080/01621459.2017.1330204openalex-snapshot

Quantile-Optimal Treatment Regimes

inferredcites →https://doi.org/10.1080/10618600.2021.1909601openalex-snapshot

Learning Multiple Quantiles With Neural Networks

inferredcites →https://doi.org/10.1093/biomet/81.4.673openalex-snapshot

Quantile Smoothing Splines

inferredcites →https://doi.org/10.1093/biomet/asaa076openalex-snapshot

Quasi-oracle estimation of heterogeneous treatment effects

inferredcites →https://doi.org/10.1093/biomet/asp030openalex-snapshot

Improving point and interval estimators of monotone functions by rearrangement

inferredcites →https://doi.org/10.1093/biomet/asq048openalex-snapshot

Noncrossing quantile regression curve estimation

inferredcites →https://doi.org/10.1109/dsaa.2019.00057openalex-snapshot

Uplift Modeling for Multiple Treatments with Cost Optimization

inferredcites →https://doi.org/10.1111/ectj.12097openalex-snapshot

Double/debiased machine learning for treatment and structural parameters

inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00651.xopenalex-snapshot

Non-Crossing Non-Parametric Estimates of Quantile Curves

inferredcites →https://doi.org/10.1111/j.1467-9876.2005.00510.xopenalex-snapshot

Generalized Additive Models for Location, Scale and Shape

inferredcites →https://doi.org/10.1111/rssa.12598openalex-snapshot

Flexible Instrumental Variable Distributional Regression

inferredcites →https://doi.org/10.1145/3292500.3330700openalex-snapshot

A Unified Framework for Marketing Budget Allocation

inferredcites →https://doi.org/10.1162/rest_a_00662openalex-snapshot

Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment

inferredcites →https://doi.org/10.1198/016214504000001880openalex-snapshot

Causal Inference Using Potential Outcomes

inferredcites →https://doi.org/10.1198/jasa.2009.tm08230openalex-snapshot

Locally Weighted Censored Quantile Regression

inferredcites →https://doi.org/10.1198/jcgs.2010.08162openalex-snapshot

Bayesian Nonparametric Modeling for Causal Inference

inferredcites →https://doi.org/10.1201/9781315120256openalex-snapshot

Handbook of Quantile Regression

inferredcites →https://doi.org/10.1214/18-aos1709openalex-snapshot

Generalized random forests

inferredcites →https://doi.org/10.1360/n012018-00193openalex-snapshot

Estimation and inference for non-crossing multiple-index quantile regression

inferredcites →https://doi.org/10.1371/journal.pone.0226514openalex-snapshot

Treatment effects beyond the mean using distributional regression: Methods and guidance

inferredcites →https://doi.org/10.3982/ecta10582openalex-snapshot

Inference on Counterfactual Distributions

inferredcites →https://doi.org/10.48550/arxiv.1805.08845openalex-snapshot

Counterfactual Mean Embeddings

inferredcites →https://doi.org/10.48550/arxiv.1906.02120openalex-snapshot

Adapting Neural Networks for the Estimation of Treatment Effects

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5347645openalex-extracted

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks

inferred← citeshttps://doi.org/10.1145/3627673.3680035openalex-snapshot

Ads Supply Personalization via Doubly Robust Learning

inferred← citeshttps://doi.org/10.1145/3690624.3709437openalex-snapshot

Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.