StatsDLMathsRecomSys / Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-SystemView on GitHub
☆22Jan 14, 2021Updated 5 years ago
Alternatives and similar repositories for Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
Users that are interested in Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Sep 22, 2026Updated 3 weeks ago
- Support for the researches on AI Education (AIED), AI Tutor, Adaptive Learning, Intelligent Tutoring System☆12Aug 8, 2019Updated 7 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Nov 21, 2022Updated 3 years ago
- ☆15Sep 25, 2020Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Jun 7, 2021Updated 5 years ago
- Deep Reinforcement Learning for Movies Recommendation System☆82Jan 5, 2020Updated 6 years ago
- ☆10Dec 3, 2020Updated 5 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Apr 6, 2022Updated 4 years ago
- A curated list on papers about combinatorial multi-armed bandit problems.☆18May 10, 2021Updated 5 years ago
- ☆184Oct 1, 2019Updated 7 years ago
- This is a new deep learning model for recommender system, which we called PHD☆32Oct 24, 2018Updated 7 years ago
- ☆19Apr 30, 2022Updated 4 years ago
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Apr 29, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆14Jul 22, 2022Updated 4 years ago
- Causal inference for recommendation☆25Jan 19, 2019Updated 7 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25May 13, 2019Updated 7 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Nov 29, 2020Updated 5 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Jun 11, 2020Updated 6 years ago
- Pytorch implementation of DeepLab V3+☆13Apr 13, 2019Updated 7 years ago
- ☆24Aug 9, 2024Updated 2 years ago
- Contextual bandit benchmarking☆53Aug 30, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- Nested Logit Model with TensorFlow☆12May 11, 2019Updated 7 years ago
- reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021☆11Apr 16, 2022Updated 4 years ago
- Official Pytorch implementation of "Generalized Supervised Contrastive Learning Framework"☆13Jun 23, 2022Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆36Jan 15, 2021Updated 5 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 7 years ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Mar 24, 2023Updated 3 years ago
- YOLOv3 in pytorch, trained on Pascal VOC 2007 dataset☆10May 16, 2020Updated 6 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆40Oct 13, 2020Updated 6 years ago
- The repo for Shen Group's FMAB repo☆11Jan 21, 2021Updated 5 years ago
- ☆10Jul 8, 2021Updated 5 years ago
- Chapter 8: Automatic Speech Recognition☆11Jul 23, 2019Updated 7 years ago
- Code and data for EMNLP2019 Paper "Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework…☆10May 24, 2020Updated 6 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Sep 16, 2022Updated 4 years ago
- ☆30Nov 15, 2023Updated 2 years ago