AkihikoWatanabe / DBGD
A python implementation of Dueling Bandit Gradient Descent (DBGD)
☆23Updated 6 years ago
Alternatives and similar repositories for DBGD:
Users that are interested in DBGD are comparing it to the libraries listed below
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 2 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆29Updated 4 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 2 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- ☆35Updated 6 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 3 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 5 years ago
- Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms☆32Updated 3 years ago
- ☆52Updated 5 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated last year
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆10Updated 2 years ago
- Implementation of the RecWalk recommendation algorithm☆24Updated 6 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆21Updated 3 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- ☆20Updated 4 years ago
- Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"☆19Updated 5 years ago
- ☆16Updated 4 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 4 years ago
- SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.☆17Updated 5 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- ☆8Updated 3 years ago
- Source code for paper "Generative Flow Network for Listwise Recommendation"☆14Updated 4 months ago