Alternatives and similar repositories for ad_click_prediction_from_aggregated_data:

Users that are interested in ad_click_prediction_from_aggregated_data are comparing it to the libraries listed below

• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆13Updated last year
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• a-lucic / focus
  ☆16Updated 2 years ago
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆16Updated 2 years ago
• samijullien / airlab-retail
  RetaiL: A Simulation Framework for Monitoring and Reducing Food Waste in Grocery Stores
  ☆18Updated 11 months ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 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 last year
• cpapadimitriou / Click-Through-Rate-prediction
  ☆11Updated 5 years ago
• that-recsys-lab / librec-auto
  Python wrapper for LibRec and other recommendation frameworks.
  ☆29Updated last year
• naszilla / reczilla
  RecZilla: Metalearning for algorithm selection on Recommender Systems
  ☆23Updated last year
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• facebookresearch / gtmf
  The implementation of GTMF(Ground Truth Maturity Framework)
  ☆18Updated 6 months ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 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 / kdd2022-tutorial
  ☆12Updated 2 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆11Updated 9 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• CausalML / MultipleLoggers
  Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
  ☆15Updated 3 years ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated 4 months ago
• myamada0321 / pyCFM
  Convex Factorization Machine (Squared loss)
  ☆7Updated 6 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆19Updated 2 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆23Updated last year
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆22Updated last year
• daturkel / sd_bandits
  ☆14Updated 4 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 4 years ago
• jtcho / FairMachineLearning
  Implementation of provably Rawlsian fair ML algorithms for contextual bandits.
  ☆14Updated 7 years ago