daturkel / sd_banditsLinks
☆14Updated 4 years ago
Alternatives and similar repositories for sd_bandits
Users that are interested in sd_bandits are comparing it to the libraries listed below
Sorting:
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 3 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated last year
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- 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
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆10Updated 2 years ago
- Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning☆10Updated 4 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆54Updated 3 years ago
- ☆18Updated 4 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- ☆16Updated 4 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆13Updated 3 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago
- A python implementation of Dueling Bandit Gradient Descent (DBGD)☆23Updated 6 years ago
- Offline evaluation of multi-armed bandit algorithms☆23Updated 4 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- Estimators to perform off-policy evaluation☆13Updated 9 months ago
- ☆9Updated 4 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆25Updated 2 years ago
- ☆9Updated 3 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 8 years ago
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Updated 6 years ago
- Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.☆15Updated 3 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments☆29Updated 6 years ago
- Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"☆19Updated 5 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago