Alternatives and similar repositories for kdd2022-tutorial

Users that are interested in kdd2022-tutorial are comparing it to the libraries listed below

• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated last year
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• CausalML / MultipleLoggers
  Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
  ☆15Updated 3 years ago
• Zziwei / Unbiased-Propensity-and-Recommendation
  Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
  ☆10Updated 4 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• usaito / kdd2022-tutorial
  ☆12Updated 2 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆11Updated 2 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆14Updated 4 years ago
• StatsDLMathsRecomSys / Knowledge-aware-complementary-product-representation-learning
  ☆12Updated 3 years ago
• usaito / unbiased-pairwise-rec
  (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
  ☆18Updated 2 years ago
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• ruqizhang / banditnet-pytorch
  A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
  ☆10Updated 6 years ago
• StatsDLMathsRecomSys / Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
  ☆22Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• spotify-research / RIPS_KDD2020
  ☆18Updated 4 years ago
• HarrieO / 2022-SIGIR-plackett-luce
  ☆12Updated 2 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• guaguakai / surrogate-optimization-learning
  ☆17Updated 4 years ago
• antoine-hochart / bandit_algo_evaluation
  Offline evaluation of multi-armed bandit algorithms
  ☆23Updated 4 years ago
• nikikilbertus / cf-fairness-sensitivity
  The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019
  ☆11Updated 5 years ago
• metabo-iclr2020 / MetaBO
  ☆15Updated 5 years ago
• GitHubLuCheng / LTEE
  Implementation of paper Long-Term Effect Estimation with Surrogate Representation
  ☆12Updated 4 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago