criteo-research

Pinned Repositories

bandit-reco
Language:Jupyter Notebook51 10 013
blob
Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.
Language:Python15 8 210
CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Language:Python245 14 555
continuous-fairness
Language:Python20 3 05
iclr_analysis
Language:Jupyter Notebook28 4 14
large-scale-ITE-UM-benchmark
Language:Jupyter Notebook19 3 14
optimization-continuous-action-crm
Language:Python30 6 02
paiss_deeprl
Language:Jupyter Notebook22 5 59
pytorch-ada
Another Domain Adaptation library, aimed at researchers.
Language:Python95 9 412
reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Language:Jupyter Notebook460 26 1199

criteo-research's Repositories

criteo-research/reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Language:Jupyter Notebook460 26 1199
criteo-research/CausE
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Language:Python245 14 555
criteo-research/pytorch-ada
Another Domain Adaptation library, aimed at researchers.
Language:Python95 9 412
criteo-research/bandit-reco
Language:Jupyter Notebook51 10 013
criteo-research/optimization-continuous-action-crm
Language:Python30 6 02
criteo-research/iclr_analysis
Language:Jupyter Notebook28 4 14
criteo-research/paiss_deeprl
Language:Jupyter Notebook22 5 59
criteo-research/continuous-fairness
Language:Python20 3 05
criteo-research/large-scale-ITE-UM-benchmark
Language:Jupyter Notebook19 3 14
criteo-research/blob
Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020.
Language:Python15 8 210
criteo-research/tf-tile
TF-Tile: an efficient sparse representation for real-valued data
Language:Python13 6 13
criteo-research/ad_click_prediction_from_aggregated_data
Language:Python10 2 01
criteo-research/Efficient-Kernel-UCB
Language:Python6 2 04
criteo-research/master-iasd
Resources for the IASD master from Criteo
Language:Jupyter Notebook5 11 012
criteo-research/logistic_bandit
Logistic Bandit experiments. Official code for the paper "Jointly Efficient and Optimal Algorithms for Logistic Bandits".
Language:Python4 2 02
criteo-research/robust-label-attribution
Language:Jupyter Notebook4 3 00
criteo-research/sequential-conterfactual-risk-minimization
Language:Jupyter Notebook4 5 02
criteo-research/uplift_modeling_metric
Language:Python3 3 02
criteo-research/criteo-privacy-preserving-ml-competition
Language:Jupyter Notebook2 3 02
criteo-research/Nested-Exponential-Weights
Language:Jupyter Notebook2 2 00
criteo-research/success-proba-max
Language:Jupyter Notebook2 4 00
criteo-research/tensorflow_approximate_top_k
Custom Tensorflow operation to do approximate top-K
Language:CMake2 3 0
criteo-research/warhol
Language:Python2 2 01
criteo-research/counterfactual_evaluation_and_recommendation
Language:HTML1 3 01
criteo-research/gennes
Generative Neural Networks for Differentiable Evolutionary Search.
Language:Python1 4 1