Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
☆20Mar 11, 2022Updated 4 years ago
Alternatives and similar repositories for CausPref
Users that are interested in CausPref are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".☆16Apr 7, 2026Updated 3 weeks ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Aug 12, 2022Updated 3 years ago
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆13Jun 6, 2024Updated last year
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆25Sep 11, 2021Updated 4 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Jan 27, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆12Oct 10, 2024Updated last year
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Dec 26, 2023Updated 2 years ago
- Books and posts to understand Pearl and Rubin's view on causality and their disputes.☆13May 7, 2022Updated 3 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆13Oct 13, 2021Updated 4 years ago
- ☆26Feb 2, 2023Updated 3 years ago
- Implementation of Inverse Propensity Matrix Factorization with Pytorch-Lightning☆12Sep 23, 2020Updated 5 years ago
- (TKDE'22) Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems".☆18Jul 16, 2022Updated 3 years ago
- ☆33Dec 31, 2021Updated 4 years ago
- Causal Inference-based Debiasing Framework for Knowledge Graph Completion☆12Mar 19, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆78Sep 3, 2021Updated 4 years ago
- Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"☆24Feb 25, 2022Updated 4 years ago
- ☆10Aug 24, 2023Updated 2 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆517Mar 3, 2023Updated 3 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆157Jun 4, 2024Updated last year
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- DDPM☆15Apr 10, 2023Updated 3 years ago
- [Paper][CCKS2023] CausE: Towards Causal Knowledge Graph Embedding☆17Jul 30, 2023Updated 2 years ago
- Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"☆12Oct 17, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for "Accelerating Transformer Pre-training with 2:4 Sparsity"☆27Dec 8, 2024Updated last year
- RL-based Causal Discovery with Prior Knowledge☆17Sep 20, 2022Updated 3 years ago
- interesting & promising & widely adopted tricks for SOTA performance in machine learning community.☆15Apr 13, 2021Updated 5 years ago
- User-oriented Fairness in Recommendation☆29Nov 6, 2021Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Oct 19, 2023Updated 2 years ago
- Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)☆10Jul 24, 2021Updated 4 years ago
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆79Jan 2, 2024Updated 2 years ago
- ☆36Nov 3, 2022Updated 3 years ago
- This is the official implementation of FIRE☆18Nov 1, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- MB-GMN, SIGIR 2021☆44May 12, 2022Updated 3 years ago
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆248Oct 24, 2018Updated 7 years ago
- The implementation of STAR-HiT.☆11Oct 18, 2023Updated 2 years ago
- Code for COLING 2020 paper "Controllable Abstractive Sentence Summarization with Guiding Entities"☆12Dec 24, 2020Updated 5 years ago
- Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation☆17May 29, 2023Updated 2 years ago
- SIGIR 2024, Session-based recommendation, Co-occurrence patterns of ID, Fine-grained preferences of Modality, Disentanglement learning.☆22Sep 5, 2024Updated last year
- This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization☆13May 17, 2023Updated 2 years ago