On the public citation graph

Debiased Representation Learning in Recommendation via Information Bottleneck

https://doi.org/10.1145/3568030
0 signed · 51 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/047174882xopenalex-snapshot
Elements of Information Theory
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1093/biomet/70.1.41openalex-snapshot
The central role of the propensity score in observational studies for causal effects
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2015.2405556openalex-snapshot
Boosting Response Aware Model-Based Collaborative Filtering
inferredcites →https://doi.org/10.1109/tkde.2020.3013973openalex-snapshot
Spiral of Silence and Its Application in Recommender Systems
inferredcites →https://doi.org/10.1109/tpami.2017.2784440openalex-snapshot
Information Dropout: Learning Optimal Representations Through Noisy Computation
inferredcites →https://doi.org/10.1145/1639714.1639717openalex-snapshot
Collaborative prediction and ranking with non-random missing data
inferredcites →https://doi.org/10.1145/1963405openalex-snapshot
Proceedings of the 20th international conference on World wide web
inferredcites →https://doi.org/10.1145/2556195openalex-snapshot
Proceedings of the 7th ACM international conference on Web search and data mining
inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot
Modeling User Exposure in Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109912openalex-snapshot
Controlling Popularity Bias in Learning-to-Rank Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159732openalex-snapshot
Position Bias Estimation for Unbiased Learning to Rank in Personal Search
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot
Causal embeddings for recommendation
inferredcites →https://doi.org/10.1145/3292500.3330701openalex-snapshot
Optuna
inferredcites →https://doi.org/10.1145/3306618.3314288openalex-snapshot
Degenerate Feedback Loops in Recommender Systems
inferredcites →https://doi.org/10.1145/3336191.3371783openalex-snapshot
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
inferredcites →https://doi.org/10.1145/3357384.3358058openalex-snapshot
Improving Ad Click Prediction by Considering Non-displayed Events
inferredcites →https://doi.org/10.1145/3383313.3411545openalex-snapshot
Counteracting Bias and Increasing Fairness in Search and Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401083openalex-snapshot
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
inferredcites →https://doi.org/10.1145/3397271.3401114openalex-snapshot
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback
inferredcites →https://doi.org/10.1145/3397271.3401321openalex-snapshot
Influence Function for Unbiased Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401431openalex-snapshot
Understanding Echo Chambers in E-commerce Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3462962openalex-snapshot
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
inferredcites →https://doi.org/10.1145/3437963openalex-snapshot
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3437963.3441722openalex-snapshot
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
inferredcites →https://doi.org/10.1145/3437963.3441799openalex-snapshot
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings
inferredcites →https://doi.org/10.1145/3447548.3467289openalex-snapshot
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
inferredcites →https://doi.org/10.1145/3460231.3474263openalex-snapshot
Mitigating Confounding Bias in Recommendation via Information Bottleneck
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.673openalex-snapshot
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

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.4485277openalex-extracted
Deep Dive into Recommendation Systems for Smart Blogging: Applications, Effectiveness, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_44openalex-snapshot
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation
inferred← citeshttps://doi.org/10.1007/s10489-024-05835-xopenalex-snapshot
Attention-based causal representation learning for out-of-distribution recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126808openalex-snapshot
Multi-teacher knowledge distillation for debiasing recommendation with uniform data
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120834openalex-snapshot
Modeling item exposure and user satisfaction for debiased recommendation with causal inference
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.104028openalex-snapshot
Invariant debiasing learning for recommendation via biased imputation
inferred← citeshttps://doi.org/10.1109/icdmw65004.2024.00114openalex-snapshot
UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3485880openalex-snapshot
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer
inferred← citeshttps://doi.org/10.1145/3581783.3613801openalex-snapshot
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3582002openalex-snapshot
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset
inferred← citeshttps://doi.org/10.1145/3626772.3657799openalex-snapshot
CaDRec: Contextualized and Debiased Recommender Model
inferred← citeshttps://doi.org/10.1145/3637067openalex-snapshot
Enhancing Item-level Bundle Representation for Bundle Recommendation
inferred← citeshttps://doi.org/10.1145/3649443openalex-snapshot
Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3696468openalex-snapshot
Pairwise Intent Graph Embedding Learning for Context-aware Recommendation with Knowledge Graph
inferred← citeshttps://doi.org/10.1145/3705328.3748073openalex-snapshot
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3718100openalex-snapshot
Unbiased Interest Modeling in Sequential Basket Analysis: Addressing Repetition Bias with Multi-Factor Estimation
inferred← citeshttps://doi.org/10.1145/3736576openalex-snapshot
Debiased Cognition Representation Learning for Knowledge Tracing
inferred← citeshttps://doi.org/10.1145/3737457openalex-snapshot
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3746027.3755410openalex-snapshot
I 3 -MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
inferred← citeshttps://doi.org/10.3390/e27020196openalex-snapshot
Gradient-Based Multiple Robust Learning Calibration on Data Missing-Not-at-Random via Bi-Level Optimization
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.