ruqizhang / banditnet-pytorchLinks
A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
☆10Updated 6 years ago
Alternatives and similar repositories for banditnet-pytorch
Users that are interested in banditnet-pytorch are comparing it to the libraries listed below
Sorting:
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated last year
- ☆16Updated 4 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆14Updated 4 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning☆10Updated 4 years ago
- ☆10Updated 4 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- Batch IS NOT Heavy: Learning Word Representations From All Samples☆10Updated 6 years ago
- ☆12Updated 3 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- Code for paper "Conversational Product Search Based on Negative Feedback"☆12Updated 5 years ago
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 4 years ago
- Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"☆19Updated 5 years ago
- ☆32Updated 2 years ago
- An implementation of the Joint Representation Learning Model (JRL) for product recommendation based on heterogeneous information sources☆22Updated 7 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- An offline evaluation framework for sequence-based recommender systems☆13Updated 6 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago
- Code for the paper "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation" at RecSys'20☆24Updated 3 years ago
- ☆14Updated 8 years ago
- Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)☆11Updated 4 years ago
- ☆22Updated 3 years ago
- ☆18Updated 2 years ago
- Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"☆29Updated 5 years ago
- Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. In Recsys23.☆10Updated last year
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments☆29Updated 6 years ago
- Code for Learning K-way D-dimensional Discrete Codes For Compact Embedding Representations☆28Updated 6 years ago
- Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"☆19Updated 5 years ago