On the public citation graph

Stable Prediction with Leveraging Seed Variable

https://doi.org/10.1109/tkde.2022.3169333

0 signed · 55 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/net.3230200504openalex-snapshot

Identifying independence in bayesian networks

inferredcites →https://doi.org/10.1016/j.eng.2019.08.016openalex-snapshot

Causal Inference

inferredcites →https://doi.org/10.1016/j.eng.2019.12.012openalex-snapshot

Adversarial Attacks and Defenses in Deep Learning

inferredcites →https://doi.org/10.1016/j.eng.2019.12.013openalex-snapshot

The General-Purpose Intelligent Agent

inferredcites →https://doi.org/10.1016/j.patcog.2008.11.018openalex-snapshot

An improvement on floating search algorithms for feature subset selection

inferredcites →https://doi.org/10.1017/cbo9780511803161openalex-snapshot

Causality

inferredcites →https://doi.org/10.1017/cbo9781139025751openalex-snapshot

Causal Inference for Statistics, Social, and Biomedical Sciences

inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot

Random Forests

inferredcites →https://doi.org/10.1038/s42256-022-00445-zopenalex-snapshot

Stable learning establishes some common ground between causal inference and machine learning

inferredcites →https://doi.org/10.1080/01621459.2018.1491403openalex-snapshot

Invariant Causal Prediction for Sequential Data

inferredcites →https://doi.org/10.1093/biomet/asq008openalex-snapshot

Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm

inferredcites →https://doi.org/10.1109/iccv.2017.591openalex-snapshot

Deeper, Broader and Artier Domain Generalization

inferredcites →https://doi.org/10.1109/tbme.2009.2036000openalex-snapshot

Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tnn.2007.909535openalex-snapshot

Performing Feature Selection With Multilayer Perceptrons

inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot

Regression Shrinkage and Selection Via the Lasso

inferredcites →https://doi.org/10.1111/rssb.12167openalex-snapshot

Causal Inference by using Invariant Prediction: Identification and Confidence Intervals

inferredcites →https://doi.org/10.1111/rssb.12268openalex-snapshot

Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions

inferredcites →https://doi.org/10.1111/rssb.12398openalex-snapshot

Anchor Regression: Heterogeneous Data Meet Causality

inferredcites →https://doi.org/10.1142/s021800140300271xopenalex-snapshot

A Methodology for Feature Selection Using Multiobjective Genetic Algorithms for Handwritten Digit String Recognition

inferredcites →https://doi.org/10.1145/3097983.3098032openalex-snapshot

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing

inferredcites →https://doi.org/10.1145/3219819.3220082openalex-snapshot

Stable Prediction across Unknown Environments

inferredcites →https://doi.org/10.1145/3394486.3403269openalex-snapshot

Stable Learning via Differentiated Variable Decorrelation

inferredcites →https://doi.org/10.1145/3397269openalex-snapshot

A Survey of Learning Causality with Data

inferredcites →https://doi.org/10.1145/3409382openalex-snapshot

Causality-based Feature Selection

inferredcites →https://doi.org/10.1145/3447548.3467403openalex-snapshot

Analysis and Applications of Class-wise Robustness in Adversarial Training

inferredcites →https://doi.org/10.1214/20-aos2004openalex-snapshot

Learning models with uniform performance via distributionally robust optimization

inferredcites →https://doi.org/10.1515/jci-2017-0016openalex-snapshot

Invariant Causal Prediction for Nonlinear Models

inferredcites →https://doi.org/10.1515/jci-2018-0017openalex-snapshot

Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery

inferredcites →https://doi.org/10.1609/aaai.v25i1.8056openalex-snapshot

Controlling Selection Bias in Causal Inference

inferredcites →https://doi.org/10.1609/aaai.v33i01.33012744openalex-snapshot

Identification of Causal Effects in the Presence of Selection Bias

inferredcites →https://doi.org/10.1609/aaai.v34i04.5876openalex-snapshot

Stable Prediction with Model Misspecification and Agnostic Distribution Shift

inferredcites →https://doi.org/10.1609/aaai.v34i04.6024openalex-snapshot

Stable Learning via Sample Reweighting

inferredcites →https://doi.org/10.1609/aaai.v35i10.17050openalex-snapshot

Stable Adversarial Learning under Distributional Shifts

inferredcites →https://doi.org/10.18637/jss.v035.i03openalex-snapshot

Learning Bayesian Networks with the bnlearn R Package

inferredcites →https://doi.org/10.24963/ijcai.2017/186openalex-snapshot

Transfer Learning in Multi-Armed Bandits: A Causal Approach

inferredcites →https://doi.org/10.48550/arxiv.1301.2115openalex-snapshot

Domain Generalization via Invariant Feature Representation

inferredcites →https://doi.org/10.48550/arxiv.1507.05333openalex-snapshot

Invariant Models for Causal Transfer Learning

inferredcites →https://doi.org/10.48550/arxiv.1709.06138openalex-snapshot

Model-Powered Conditional Independence Test

inferredcites →https://doi.org/10.48550/arxiv.1711.07910openalex-snapshot

Domain Generalization by Marginal Transfer Learning

inferredcites →https://doi.org/10.5555/1005332.1044711openalex-snapshot

Fast Binary Feature Selection with Conditional Mutual Information

inferredcites →https://doi.org/10.5555/3291125.3291161openalex-snapshot

Invariant models for causal transfer learning

inferredcites →https://doi.org/10.5555/944919.944968openalex-snapshot

An introduction to variable and feature selection

inferredcites →https://doi.org/10.7551/mitpress/1754.001.0001openalex-snapshot

Causation, Prediction, and Search

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.4646605openalex-extracted

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121831openalex-snapshot

Local causal structure learning with missing data

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129281openalex-snapshot

Counterfactual graph convolution with quantified discrepancies for fraud detection

inferred← citeshttps://doi.org/10.1016/j.matdes.2024.112785openalex-snapshot

Feature purify: An examination of spurious correlations in high-entropy alloys

inferred← citeshttps://doi.org/10.1109/tai.2024.3404411openalex-snapshot

Stable Learning via Triplex Learning

inferred← citeshttps://doi.org/10.1109/tbdata.2024.3489413openalex-snapshot

Stable Learning via Dual Feature Learning

inferred← citeshttps://doi.org/10.1109/tkde.2021.3119185openalex-snapshot

Learning Causal Representations for Robust Domain Adaptation

inferred← citeshttps://doi.org/10.1109/tkde.2022.3231338openalex-snapshot

Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection

inferred← citeshttps://doi.org/10.1109/tkde.2024.3491776openalex-snapshot

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders

inferred← citeshttps://doi.org/10.1145/3603165.3607365openalex-snapshot

Causal Inspired Trustworthy Machine 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.