criteo-research / ad_click_prediction_from_aggregated_dataLinks
☆11Updated 3 years ago
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
Sorting:
- A library of techniques for local interpretation of machine learning models☆9Updated 2 years ago
- A abstract text classification library using language models. Build your fine-tuned text classifier in 5 steps.☆10Updated 4 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆14Updated 2 years ago
- Empirical Likelihood for Contextual Bandits☆12Updated 4 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 3 years ago
- Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables☆11Updated 7 years ago
- Source code for the ACML 2019 paper "Functional Isolation Forest".☆21Updated 3 years ago
- ☆14Updated 9 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆17Updated 3 years ago
- ☆9Updated 2 years ago
- gFM: An Efficient Solver for generalized Factorization Machine☆8Updated 8 years ago
- Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals, KDD 2020☆11Updated 3 years ago
- An offline evaluation framework for sequence-based recommender systems☆13Updated 6 years ago
- ☆16Updated 3 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…☆11Updated 10 years ago
- repair classifiers with disparate impact☆10Updated 6 years ago
- ☆16Updated 4 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 8 years ago
- This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"☆11Updated 6 years ago
- predicting learning curves in python☆20Updated 10 years ago
- ☆17Updated 11 years ago
- Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020…☆16Updated 2 years ago
- Code for HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems☆16Updated 9 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 5 years ago
- ☆10Updated 4 years ago
- Parallelized SGD☆12Updated 12 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- RecZilla: Metalearning for algorithm selection on Recommender Systems☆24Updated last year