usaito / icml2022-mipsLinks
(ICML2022) Off-Policy Evaluation for Large Action Spaces via Embeddings
☆21Updated 3 years ago
Alternatives and similar repositories for icml2022-mips
Users that are interested in icml2022-mips are comparing it to the libraries listed below
Sorting:
- ☆30Updated 5 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Updated 2 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 4 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- ☆18Updated 4 years ago
- Summaries and notes on CounterFactual Machine Learning papers☆19Updated 6 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 4 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 3 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆26Updated 2 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆55Updated 3 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 2 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆96Updated 3 years ago
- ☆66Updated 2 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Updated 4 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆18Updated 2 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- ☆14Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ☆32Updated 5 months ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago