antoine-hochart / bandit_algo_evaluationView external linksLinks
Offline evaluation of multi-armed bandit algorithms
☆23Dec 1, 2020Updated 5 years ago
Alternatives and similar repositories for bandit_algo_evaluation
Users that are interested in bandit_algo_evaluation are comparing it to the libraries listed below
Sorting:
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Multi-armed bandits for dynamic movie recommendations☆14Nov 20, 2019Updated 6 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Jul 16, 2023Updated 2 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆15Aug 2, 2021Updated 4 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Dec 13, 2022Updated 3 years ago
- ☆15Dec 14, 2020Updated 5 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Jun 7, 2021Updated 4 years ago
- ☆10Jul 8, 2021Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Jun 22, 2023Updated 2 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆13Jul 22, 2022Updated 3 years ago
- Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).☆11Apr 13, 2021Updated 4 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆28Apr 11, 2022Updated 3 years ago
- ☆11Nov 24, 2021Updated 4 years ago
- This repository contains the scripts used during my participation on CIKM Cup 2016 (see http://cikmcup.org/ and https://competitions.coda…☆11Nov 4, 2016Updated 9 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Aug 14, 2022Updated 3 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Jun 11, 2020Updated 5 years ago
- Estimators to perform off-policy evaluation☆13Sep 3, 2024Updated last year
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Aug 22, 2018Updated 7 years ago
- Code for paper "Conversational Product Search Based on Negative Feedback"☆12Jun 26, 2020Updated 5 years ago
- ☆15Feb 25, 2021Updated 4 years ago
- Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.☆15Jul 22, 2021Updated 4 years ago
- Summaries and notes on CounterFactual Machine Learning papers☆19Dec 13, 2018Updated 7 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Nov 21, 2022Updated 3 years ago
- ☆12Jul 4, 2022Updated 3 years ago
- 本项目展示了2022年部分信息检索/数据挖掘顶会论文分类。☆17Jun 13, 2022Updated 3 years ago
- ☆16May 9, 2022Updated 3 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Jan 21, 2022Updated 4 years ago
- ☆15Sep 25, 2020Updated 5 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14May 10, 2017Updated 8 years ago
- ☆16May 31, 2017Updated 8 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆35May 18, 2020Updated 5 years ago
- ☆18Apr 25, 2023Updated 2 years ago
- Implementation of importance sampling, direct, and hybrid methods for off-policy evaluation.☆16Mar 28, 2020Updated 5 years ago
- ☆35Oct 1, 2018Updated 7 years ago
- Reading list for research topics in intent analysis.☆16Oct 23, 2023Updated 2 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆71Jun 4, 2021Updated 4 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Nov 2, 2017Updated 8 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆18Nov 10, 2017Updated 8 years ago
- Implemented SVD, SVD++ and timeSVD++. Can be used on the netflix data to make predictions. Data can be downloaded from https://minnow.noi…☆14Jun 4, 2015Updated 10 years ago