Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks | Paper Citation Record

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This paper cites Bootstrap tests for distributional treatment effects in instrumental variable models.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Bootstrap tests for distributional treatment effects in instrumental variable models

Reference 1

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

Reference 2

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

Reference 3

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

Reference 4

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This paper cites Program evalu- ation and causal inference with high-dimensional data.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Program evalu- ation and causal inference with high-dimensional data

Reference 5

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This paper cites Covari- ance adjustments for the analysis of randomized field experiments.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Covari- ance adjustments for the analysis of randomized field experiments

Reference 6

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This paper cites On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization

Reference 7

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This paper cites Estimating distributional treatment effects in randomized experiments: Machine learning for variance reduction.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Estimating distributional treatment effects in randomized experiments: Machine learning for variance reduction

Reference 8

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This paper cites Quantile treatment effects in difference in differences models with panel data.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Quantile treatment effects in difference in differences models with panel data

Reference 9

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This paper cites Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods

Reference 10

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This paper cites Multitask learning.

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

Reference 11

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This paper cites Double/debiased machine learning for treatment and structural parameters.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Double/debiased machine learning for treatment and structural parameters

Reference 12

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This paper cites Locally robust semiparametric estimation.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Locally robust semiparametric estimation

Reference 13

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This paper cites Inference on counterfactual distributions.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Inference on counterfactual distributions

Reference 14

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This paper cites Inference on counterfactual distributions.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Inference on counterfactual distributions

Reference 15

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This paper cites Generic inference on quantile and quantile effect functions for discrete outcomes.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Generic inference on quantile and quantile effect functions for discrete outcomes

Reference 16

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This paper cites An iv model of quantile treatment effects.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks An iv model of quantile treatment effects

Reference 17

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This paper cites The econometrics of shape restrictions.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks The econometrics of shape restrictions

Reference 18

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This paper cites Chipman, Edward I.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Chipman, Edward I

Reference 19

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Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Shape constraints for set functions

Reference 20

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Observation e355a9e7-10a0-4c33-b7ad-c4c04e16a4c9 · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Multi-Task Learning with Deep Neural Networks: A Survey

Reference 21

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Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks On label depen- dence and loss minimization in multi-label classification

Reference 22

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This paper cites Improving the sensitivity of online controlled ex- periments by utilizing pre-experiment data.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Improving the sensitivity of online controlled ex- periments by utilizing pre-experiment data

Reference 23

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This paper cites Shape-constrained statistical inference.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Shape-constrained statistical inference

Reference 24

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This paper cites Ferraro and Michael K.

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

Reference 25

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This paper cites Efficient semiparametric estimation of quantile treatment effects.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Efficient semiparametric estimation of quantile treatment effects

Reference 26

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This paper cites The design of experiments.

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

Reference 27

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This paper cites Decomposition methods in economics.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Decomposition methods in economics

Reference 28

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This paper cites Freedman.

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

Reference 29

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This paper cites Unconditional quantile treatment effects under endogeneity.Journal of Business & Economic Statistics, 31(3):346–357, 2013.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Unconditional quantile treatment effects under endogeneity.Journal of Business & Economic Statistics, 31(3):346–357, 2013

Reference 30

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This paper cites Diminishing returns shape constraints for interpretability and regularization.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Diminishing returns shape constraints for interpretability and regularization

Reference 31

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Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Monotonic calibrated interpolated look-up tables

Reference 32

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

Reference 33

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Observation a187554e-4f3e-4574-83c2-a680d1ff0f4c · outbound

This paper cites Horowitz and Sokbae Lee.

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

Reference 34

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Observation 3cd816c4-d64d-4ec4-91b2-7f836b834925 · outbound

This paper cites Improving regression performance with distributional losses.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Improving regression performance with distributional losses

Reference 35

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This paper cites Imbens and Donald B.

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

Reference 36

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This paper cites Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations

Reference 37

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This paper cites Localized debiased machine learning: Efficient inference on quantile treatment effects and beyond.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Localized debiased machine learning: Efficient inference on quantile treatment effects and beyond

Reference 38

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Observation 18bf394f-2269-4b29-97b1-c0208d8cd7a6 · outbound

This paper cites Trustworthy online controlled experiments : a practical guide to A/B testing.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Trustworthy online controlled experiments : a practical guide to A/B testing

Reference 39

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Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Quantile-optimal treatment regimes

Reference 40

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Observation 1ba5f6d9-433c-4f7c-b3c0-d3acb0394770 · outbound

This paper cites The unfavorable economics of measuring the returns to advertising.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks The unfavorable economics of measuring the returns to advertising

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:27.039317Z

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Observation 88fd0fa6-40d5-49dd-b540-9695d044da49 · outbound

This paper cites Bondell, and Brian J.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Bondell, and Brian J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:27.020118Z

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Observation 94c35c85-3864-49e2-9767-23e2d1744e81 · outbound

This paper cites Agnostic notes on regression adjustments to experimental data: Reexamining freedman’s critique.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Agnostic notes on regression adjustments to experimental data: Reexamining freedman’s critique

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.988782Z

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Observation b3a1571b-5e45-43c6-9bc2-b3657858e71c · outbound

This paper cites List, Ian Muir, and Gregory Sun.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks List, Ian Muir, and Gregory Sun

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.967210Z

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Observation 67a4a1a0-b491-4573-bd84-e8a959aa5bd2 · outbound

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

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:40:26.947426Z

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Observation 928db632-a7a6-47cd-b6ff-2bc592d96572 · outbound

This paper cites Regression adjustment for estimating distributional treatment effects in randomized controlled trials.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Regression adjustment for estimating distributional treatment effects in randomized controlled trials

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.922039Z

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This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Pytorch: An imperative style, high-performance deep learning library, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.901008Z

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Observation befe68d4-14ba-412e-bb37-da217e8ec34f · outbound

This paper cites Rosenbaum.

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

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.876671Z

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Observation 697085ab-379d-4fb5-a4d0-a0026959a367 · outbound

This paper cites Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.843972Z

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Observation ae926bcf-4bf0-4c4d-b949-a50435d6aad6 · outbound

This paper cites Nonparametric estimation of distributional policy effects.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Nonparametric estimation of distributional policy effects

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.811146Z

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Observation c31bdff2-3e46-4c93-9fc4-f253833629f7 · outbound

This paper cites Estimating causal effects of treatments in randomized and nonrandomized studies.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Estimating causal effects of treatments in randomized and nonrandomized studies

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.789497Z

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Observation af089e10-d3ad-4841-a4c7-712d41e98c5c · outbound

This paper cites Randomization analysis of experimental data: The fisher randomization test com- ment, 1980.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Randomization analysis of experimental data: The fisher randomization test com- ment, 1980

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.766078Z

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Observation 0fa45886-977f-4b16-ae0b-ada72e857e59 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks An Overview of Multi-Task Learning in Deep Neural Networks

Reference 53

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Observation 8bf9e285-a480-45fc-8af0-8b9b4b2c1b2e · outbound

This paper cites Zlpr: A novel loss for multi-label classification, 2022.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Zlpr: A novel loss for multi-label classification, 2022

Reference 54

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Observation 321606dc-3bde-4ffd-aafe-a103de4d445c · outbound

This paper cites Single-model uncertainties for deep learning.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Single-model uncertainties for deep learning

Reference 55

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Observation 91d8ed40-215a-4f72-933e-c89803d82a14 · outbound

This paper cites Overlapping experiment infrastruc- ture: More, better, faster experimentation.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Overlapping experiment infrastruc- ture: More, better, faster experimentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.710361Z

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Observation dcaa7e11-532e-4eb1-bf1c-ed3d16bfeaa3 · outbound

This paper cites Deep learning for multi-label learning: A comprehensive survey, 2024.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Deep learning for multi-label learning: A comprehensive survey, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.690519Z

Source-reported events for the cited work

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Observation 3ac8377e-6f55-41f9-bb89-f27860735b01 · outbound

This paper cites Tsiatis, Marie Davidian, Min Zhang, and Xiaomin Lu.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Tsiatis, Marie Davidian, Min Zhang, and Xiaomin Lu

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.668015Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1c81046-b1cc-48d4-b61f-9920ed73679c · outbound

This paper cites Nonparametric estimation of conditional quantiles using neural networks.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Nonparametric estimation of conditional quantiles using neural networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.644677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d22f36fe-6380-4a60-bd7e-bd7ac8121299 · outbound

This paper cites Dnet: Distri- butional network for distributional individualized treatment effects.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Dnet: Distri- butional network for distributional individualized treatment effects

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.612237Z

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Observation 925a4743-2e3d-4b7b-afd4-7f1f807eeae8 · outbound

This paper cites Improving the sensitivity of online controlled experiments: Case studies at netflix.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Improving the sensitivity of online controlled experiments: Case studies at netflix

Reference 61

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Observation 7d0a6b13-57b8-4db5-aa96-a423ff2e566a · outbound

This paper cites Improving the sensitivity of online controlled experiments: Case studies at netflix.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Improving the sensitivity of online controlled experiments: Case studies at netflix

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.568092Z

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Observation a48598dc-f599-4534-acc3-b92e32aaa262 · outbound

This paper cites Daniels, and Almut G.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Daniels, and Almut G

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.546054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a804d0ef-62a2-45f0-b78f-154cd0a5e2de · outbound

This paper cites Efficiency study of estimators for a treatment effect in a pretest- posttest trial.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Efficiency study of estimators for a treatment effect in a pretest- posttest trial

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.519941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f4988c2-60ec-4f01-8e2a-6c64f3c32adc · outbound

This paper cites Deep lattice networks and partial monotonic functions.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Deep lattice networks and partial monotonic functions

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.486971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 315b89fe-e2a6-4d96-b2c1-95d2740e6898 · outbound

This paper cites Multilabel neural networks with applications to functional genomics and text categorization.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks Multilabel neural networks with applications to functional genomics and text categorization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.462592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25d34538-7e83-4d0a-9387-c621350ac71a · outbound

This paper cites A review on multi-label learning algorithms.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks A review on multi-label learning algorithms

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.434940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f973f25e-4e95-4d14-a32d-ee9ac6d41214 · outbound

This paper cites An overview of multi-task learning.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks An overview of multi-task learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:40:26.303778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25559795-7a6d-4e98-a207-395dbe420a11 · outbound

This paper cites A survey on multi-task learning.

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks A survey on multi-task learning

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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