Alternatives and similar repositories for kdd2022-tutorial

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

• usaito / kdd2022-tutorial
  ☆12Updated 3 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated 2 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• CausalML / MultipleLoggers
  Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
  ☆15Updated 4 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
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 5 years ago
• ruqizhang / banditnet-pytorch
  A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"
  ☆10Updated 7 years ago
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• cydonia999 / variational-autoencoders-for-collaborative-filtering-pytorch
  Implementation of variational autoencoders for collaborative filtering in PyTorch
  ☆25Updated 6 years ago
• berkeley-reclab / RecLab
  ☆67Updated 2 years ago
• usaito / unbiased-pairwise-rec
  (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
  ☆19Updated 2 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 6 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• HarrieO / 2022-SIGIR-plackett-luce
  ☆12Updated 3 years ago
• antoine-hochart / bandit_algo_evaluation
  Offline evaluation of multi-armed bandit algorithms
  ☆23Updated 4 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆23Updated 2 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• dmelis / robust_interpret
  Tools for robustness evaluation in interpretability methods
  ☆10Updated 4 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆43Updated 3 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• usaito / asymmetric-tri-rec-real
  (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’
  ☆21Updated 2 years ago
• YyzHarry / SV-RL
  [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
  ☆34Updated 5 years ago
• spotify-research / RIPS_KDD2020
  ☆18Updated 4 years ago
• wouterkool / ancestral-gumbel-top-k-sampling
  Ancestral Gumbel-Top-k Sampling
  ☆25Updated 5 years ago