Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees | Paper Citation Record

Observation b740199e-4c16-4efe-9872-bfbaaa16975f · outbound

This paper cites Inference and missing data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Inference and missing data

Reference 1

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This paper cites Imputation for prediction: beware of diminishing returns.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Imputation for prediction: beware of diminishing returns

Reference 2

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Observation 7d178854-92b6-4885-a8d7-5b199d8caed0 · outbound

This paper cites mice: Multivariate imputation by chained equations in r.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees mice: Multivariate imputation by chained equations in r

Reference 3

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This paper cites Missforest—non-parametric missing value imputation for mixed-type data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missforest—non-parametric missing value imputation for mixed-type data

Reference 4

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This paper cites Geometry-and accuracy-preserving random forest proximities.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Geometry-and accuracy-preserving random forest proximities

Reference 5

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This paper cites An intelligent missing data imputation tech- niques: A review.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees An intelligent missing data imputation tech- niques: A review

Reference 6

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This paper cites Missing data imputation using optimal transport.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missing data imputation using optimal transport

Reference 7

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This paper cites Spectral regularization algorithms for learning large incomplete matrices.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Spectral regularization algorithms for learning large incomplete matrices

Reference 8

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This paper cites Imputation of missing values in multi-view data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Imputation of missing values in multi-view data

Reference 9

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Observation 4a37266c-dff3-431d-9013-bd6851932648 · outbound

This paper cites MIW AE: Deep generative modelling and imputation of incomplete data sets.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees MIW AE: Deep generative modelling and imputation of incomplete data sets

Reference 10

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Observation e64a9dd9-e50a-435a-a1a6-2d640107c8cf · outbound

This paper cites not-{miwae}: Deep genera- tive modelling with missing not at random data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees not-{miwae}: Deep genera- tive modelling with missing not at random data

Reference 11

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This paper cites Miracle: Causally-aware imputation via learning missing data mechanisms.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Miracle: Causally-aware imputation via learning missing data mechanisms

Reference 12

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Observation 51b5b4b8-1521-4ec4-9dd8-939bc1d05dcc · outbound

This paper cites Hyperimpute: Generalized iterative imputation with automatic model selection.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Hyperimpute: Generalized iterative imputation with automatic model selection

Reference 13

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Observation 59cd2ead-9ec0-4d8f-8586-9d7766f2560f · outbound

This paper cites Pro- cessing of missing data by neural networks.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Pro- cessing of missing data by neural networks

Reference 14

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Observation 5ea6cfc9-f873-4456-ad77-42e56f4f255e · outbound

This paper cites Analysis of multivariate missing data with nonignorable nonresponse.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Analysis of multivariate missing data with nonignorable nonresponse

Reference 15

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This paper cites Estimation with incomplete data: The linear case.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Estimation with incomplete data: The linear case

Reference 16

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Observation 3b1980f8-5a0f-4065-9acd-562b979e24a1 · outbound

This paper cites Estimation and imputation in probabilistic principal component analysis with missing not at random data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Estimation and imputation in probabilistic principal component analysis with missing not at random data

Reference 17

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Observation 70465ba1-bd91-4496-91bb-183c7ed8802b · outbound

This paper cites Neumiss networks: differentiable programming for supervised learning with missing values.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Neumiss networks: differentiable programming for supervised learning with missing values

Reference 18

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Observation 684d0a69-f79f-4f0e-b92e-6124e2a35f97 · outbound

This paper cites Missing value estimation methods for dna microarrays.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missing value estimation methods for dna microarrays

Reference 19

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Observation 5352a4cd-2b53-4791-b055-15f3501514ac · outbound

This paper cites A survey on missing data in machine learning.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees A survey on missing data in machine learning

Reference 20

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Observation 6cb9d129-f6d0-4181-b768-27998b49f983 · outbound

This paper cites On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees On the Performance of Imputation Techniques for Missing Values on Healthcare Datasets

Reference 21

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This paper cites Nearest neighbor imputation algorithms: a critical evaluation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Nearest neighbor imputation algorithms: a critical evaluation

Reference 22

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This paper cites Prediction, learning, and games.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Prediction, learning, and games

Reference 23

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This paper cites Follow the leader if you can, hedge if you must.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Follow the leader if you can, hedge if you must

Reference 24

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This paper cites Bandit algorithms.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Bandit algorithms

Reference 25

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This paper cites Richard Witmer, and Øystein Ore.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Richard Witmer, and Øystein Ore

Reference 26

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This paper cites Advances in collaborative filtering.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Advances in collaborative filtering

Reference 27

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This paper cites Multidimensional binary search trees used for associative searching.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Multidimensional binary search trees used for associative searching

Reference 28

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This paper cites Gamification of pure exploration for linear bandits.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Gamification of pure exploration for linear bandits

Reference 29

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Observation 16a8ff9f-00ba-4402-85d1-4c7013363bb6 · outbound

This paper cites Schapire.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Schapire

Reference 30

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This paper cites What’sa good imputation to predict with missing values? Advances in Neural Information Processing Systems , 34: 11530–11540, 2021.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees What’sa good imputation to predict with missing values? Advances in Neural Information Processing Systems , 34: 11530–11540, 2021

Reference 31

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This paper cites Optimal Transport for Structure Learning Under Missing Data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Optimal Transport for Structure Learning Under Missing Data

Reference 32

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This paper cites Naive imputation im- plicitly regularizes high-dimensional linear models.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Naive imputation im- plicitly regularizes high-dimensional linear models

Reference 33

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This paper cites GradNorm: Gra- dient normalization for adaptive loss balancing in deep multitask networks.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees GradNorm: Gra- dient normalization for adaptive loss balancing in deep multitask networks

Reference 34

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This paper cites Gradient surgery for multi-task learning.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Gradient surgery for multi-task learning

Reference 35

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This paper cites Conflict-averse gradient descent for multi-task learning.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Conflict-averse gradient descent for multi-task learning

Reference 36

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Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 37

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This paper cites Pedregosa, G.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Pedregosa, G

Reference 38

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Observation f62f0096-75b4-438f-8ac2-5e11a2e39c1f · outbound

This paper cites Heart Disease.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Heart Disease

Reference 39

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Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Datasets

Reference 40

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Observation 5223cafa-523f-4a11-bbc2-a5bbef01a591 · outbound

This paper cites Drug repositioning based on comprehensive similarity measures and bi-random walk algorithm.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Drug repositioning based on comprehensive similarity measures and bi-random walk algorithm

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.900059Z

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Observation ab7a22cb-7b76-4ff0-8cb9-b842ffeb1ac2 · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Gain: Missing data imputation using generative adversarial nets

Reference 42

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Observation 3f2f6c7c-7abe-4f4b-9410-57d1c781d9ea · outbound

This paper cites Handling Missing Data with Graph Representation Learning.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Handling Missing Data with Graph Representation Learning

Reference 43

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Observation 5910c1ce-5a6a-48c4-89dc-d09289ccc40a · outbound

This paper cites Rethinking the diffusion models for missing data imputation: A gradient flow perspective.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Rethinking the diffusion models for missing data imputation: A gradient flow perspective

Reference 44

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Observation 0c2e21f6-d70c-4709-8add-e4b53581ce1c · outbound

This paper cites ReMasker: Imputing Tabular Data with Masked Autoencoding.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees ReMasker: Imputing Tabular Data with Masked Autoencoding

Reference 45

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This paper cites Transformed distribution matching for missing value imputation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Transformed distribution matching for missing value imputation

Reference 46

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This paper cites LeCun, C.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees LeCun, C

Reference 47

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This paper cites Predict drug repurposing dataset.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Predict drug repurposing dataset

Reference 48

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This paper cites Billion-scale similarity search with gpus.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Billion-scale similarity search with gpus

Reference 49

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This paper cites Locality preserving hashing.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Locality preserving hashing

Reference 50

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Observation 6e3421ea-ee2c-4515-923c-bde05cfe643a · outbound

This paper cites Locality preserving hashing.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Locality preserving hashing

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.824804Z

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Observation 35294597-a407-48de-a851-bb2a8fbb8527 · outbound

This paper cites Annoy: Approximate Nearest Neighbors in C++/Python , 2018.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Annoy: Approximate Nearest Neighbors in C++/Python , 2018

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.814145Z

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Observation cdc75057-3b88-4cb2-a873-0b58dff45dcd · outbound

This paper cites Bore: Bayesian optimization by density-ratio estimation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Bore: Bayesian optimization by density-ratio estimation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.803954Z

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Observation 560d90ac-d7b1-4bf4-a1d5-37ded1443519 · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Csdi: Conditional score-based diffusion models for probabilistic time series imputation

Reference 54

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This paper cites Multivariate time series imputation with generative adversarial networks.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Multivariate time series imputation with generative adversarial networks

Reference 55

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This paper cites CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Reference 56

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Observation e794a5b7-a359-4e84-bd02-f662aafe9fcb · outbound

This paper cites Provably convergent schrödinger bridge with applications to probabilistic time series imputation.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Provably convergent schrödinger bridge with applications to probabilistic time series imputation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.769839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 582c890a-cc80-4330-9ffb-7a3de333e306 · outbound

This paper cites Diffusion models for missing value imputation in tabular data.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Diffusion models for missing value imputation in tabular data

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.759437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 574997c1-1ea9-4f62-ab35-b0eba13dd0c7 · outbound

This paper cites Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.748478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3c28fff0-cbcd-4abc-a01c-200233358016 · outbound

This paper cites Missdiff: Training diffusion models on tabular data with missing values, 2025.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missdiff: Training diffusion models on tabular data with missing values, 2025

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.737710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6d35f974-468f-42b6-88d9-e6f70b397081 · outbound

This paper cites Missing data imputation and acquisition with deep hierarchical models and hamiltonian monte carlo.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missing data imputation and acquisition with deep hierarchical models and hamiltonian monte carlo

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.726738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2288b95c-f0af-4035-8cfc-6207ab2a7fd4 · outbound

This paper cites Remasker: Imputing tabular data with masked autoencoding.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Remasker: Imputing tabular data with masked autoencoding

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.715570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cd04fa94-550e-4960-ad9e-1a549ceefa7b · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Masked Autoencoders Are Scalable Vision Learners

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.163246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a78c8a0-9077-43cf-ad3e-1ad0eec56136 · outbound

This paper cites Missing data imputation using op- timal transport.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Missing data imputation using op- timal transport

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.705178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8d4b9f4e-99ed-4b92-8841-627eaa2a8f01 · outbound

This paper cites Learning from incomplete data with generative adversarial networks.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Learning from incomplete data with generative adversarial networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.695204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d9b04847-34de-4aec-88cb-ce895245f5d0 · outbound

This paper cites GAIN: Missing data imputation using generative adversarial nets.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees GAIN: Missing data imputation using generative adversarial nets

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.675212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25fb8fc8-5f8b-4bb8-ab44-8a15d748f9a2 · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Inductive Representation Learning on Large Graphs

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.181738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98893cf7-7d77-401a-9e34-05d1d94f47b6 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees High-dimensional probability: An introduction with applications in data science, volume 47

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.185681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bdfe90-d5cd-497a-9a09-410bfe1beffd · outbound

This paper cites Transcript drug repurposing dataset.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Transcript drug repurposing dataset

Reference 69

Resolution: verified exact; doi, observed 2026-08-10T15:43:07.294001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 38485f2d-06bf-4b70-a89a-02fd74c25176 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.193015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbefa7c-0718-4f1a-8379-314f2f988d43 · outbound

This paper cites k-means++: The advantages of careful seeding.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees k-means++: The advantages of careful seeding

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.196495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702523f3-a8bf-4098-9009-2d4b481201c3 · outbound

This paper cites Dda-skf: predicting drug–disease associations using similarity kernel fusion.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Dda-skf: predicting drug–disease associations using similarity kernel fusion

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.644913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9bdbf375-75bc-4464-96b6-a3e620b206b3 · outbound

This paper cites Op- tuna: A next-generation hyperparameter optimization framework.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Op- tuna: A next-generation hyperparameter optimization framework

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:07.203832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52c9a3e5-5272-4d2f-91d9-ec6379ef9951 · outbound

This paper cites Algorithms for hyper- parameter optimization.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Algorithms for hyper- parameter optimization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.627679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6011f8f-6073-486b-a9f4-eab80fdd7a63 · outbound

This paper cites simple guess.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees simple guess

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.617717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a36de3de-ee70-48c1-9d07-926fdbe20717 · outbound

This paper cites 17 C Properties of the objective function G Proposition C.1.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees 17 C Properties of the objective function G Proposition C.1

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.607167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3ee1741a-6615-41e0-b00f-a6d5707c15ed · outbound

This paper cites 19 Obviously uij α U iα ≤ 1.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees 19 Obviously uij α U iα ≤ 1

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.597040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 359d842d-5b78-4eb1-aa81-008b382c7e22 · outbound

This paper cites gradient trick.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees gradient trick

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.586550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad1a2761-5620-47ab-9b71-866bb4fafe55 · outbound

This paper cites Similarly, for any i, j≤ N ∀j ̸= i, ∀f ≤ F, (x0)f j − (x⋆)f i | mf j = 0 ∼ N(0, 2σ2) (by Independence 7) (x0)f j − (x⋆)f i | mf j = 1 ∼ ( N (0, σ2.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Similarly, for any i, j≤ N ∀j ̸= i, ∀f ≤ F, (x0)f j − (x⋆)f i | mf j = 0 ∼ N(0, 2σ2) (by Independence 7) (x0)f j − (x⋆)f i | mf j = 1 ∼ ( N (0, σ2

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.575047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33e771fa-b448-4c62-9ee8-fd8f4383f6fb · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.565211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1fa2e08f-bbd6-4e08-80bb-4968215c1c3a · outbound

This paper cites Let us denote now pij ≜ P ∀k ≤ K, i̸= K(xf j , X0, k) | mf j = 1.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Let us denote now pij ≜ P ∀k ≤ K, i̸= K(xf j , X0, k) | mf j = 1

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.555717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6541fba5-29a2-4894-96be-9ba6f43f8762 · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.545910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67b0e663-97ff-4214-866f-17d99f44efe7 · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.535537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6627c4e6-b686-473e-9db2-4618f108fe42 · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.525362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fdc9ceec-056a-4cab-9afc-41326dc0c71f · outbound

This paper cites 4Due to the upper bound on K (Assumption B.5).

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees 4Due to the upper bound on K (Assumption B.5)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:07.513865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d90311f-4b94-43ed-a10d-33d83baa8d0f · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.502058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76608542-90e0-4bd7-8227-c442d60e8aa8 · outbound

This paper cites Then, with probability 1 − δ ∈ (0, 1), for all i, j≤ N, ∥(x0)j − (x⋆)i∥2 2 ≤ Cmiss δ/N 2.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Then, with probability 1 − δ ∈ (0, 1), for all i, j≤ N, ∥(x0)j − (x⋆)i∥2 2 ≤ Cmiss δ/N 2

Reference 88

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T15:43:07.489957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31b971d4-9132-4330-ab15-c806723927b0 · outbound

This paper cites an unresolved cited work.

Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:43:07.685371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers