Large-scale validation of counterfactual learning methods: A test-bed

D Lefortier, A Swaminathan, X Gu, T Joachims… - arXiv preprint arXiv …, 2016 - arxiv.org
… world data and a standardized test-bed to systematically … test-bed, the sanity checks we ran
to ensure its validity, and shows results comparing state-of-the-art off-policy learning methods

The music streaming sessions dataset

B Brost, R Mehrotra, T Jehan - The World Wide Web Conference, 2019 - dl.acm.org
… there are no other public datasets except the counterfactual test-bed from [13]. Our dataset
Large-scale validation of counterfactual learning methods: A test-bed. arXiv preprint arXiv:…

A large scale benchmark for individual treatment effect prediction and uplift modeling

E Diemert, A Betlei, C Renaudin, MR Amini… - arXiv preprint arXiv …, 2021 - arxiv.org
… Finally, we report experiments to validate key characteristics of the dataset in Section 5. …
Large-scale validation of counterfactual learning methods: A test-bed. arXiv preprint arXiv:…

Improving ad click prediction by considering non-displayed events

B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang… - Proceedings of the 28th …, 2019 - dl.acm.org
… In this paper, through a review of existing approaches of counterfactual learning, we point
Large-scale validation of counterfactual learning methods: A test-bed. In NIPS Workshop on …

Causal embeddings for recommendation

S Bonner, F Vasile - Proceedings of the 12th ACM conference on …, 2018 - dl.acm.org
… where we need to learn on the factual domain and predict on the counterfactual domain. By
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed. arXiv preprint arXiv:…

[PDF][PDF] Counterfactual learning of continuous stochastic policies

H Zenati, A Bietti, M Martin, E Diemert… - arXiv preprint arXiv …, 2020 - hal.science
… propose an offline evaluation protocol and a new large-scale dataset, which, to the best
of … for real-world systems and for validation of our methods even in synthetic and semi-synthetic …

On the factory floor: ML engineering for industrial-scale ads recommendation models

R Anil, S Gadanho, D Huang, N Jacob, Z Li… - arXiv preprint arXiv …, 2022 - arxiv.org
large-scale deployment in a production scale neural network … validation set, we can effectively
use all data for training, … used for large-scale, online training (counterfactual reasoning [15]…

Practical counterfactual policy learning for top-k recommendations

Y Liu, JN Yen, B Yuan, R Shi, P Yan… - Proceedings of the 28th …, 2022 - dl.acm.org
… However, when we attempt to implement policy learning approaches for a large-scale top-𝐾 …
Large-scale validation of counterfactual learning methods: A test-bed. In NIPS Workshop on …

LORE: a large-scale offer recommendation engine with eligibility and capacity constraints

R Makhijani, S Chakrabarti, D Struble… - Proceedings of the 13th …, 2019 - dl.acm.org
methods can be found in [21]. One of the challenges in evaluating policies ofine is how to
estimate the counterfactuals [… The data was split randomly into training, validation, and test sets …

[引用][C] Large-scale Validation of Counterfactual Learning Methods: A Test-Bed. CoRR abs/1612.00367 (2016)

D Lefortier, A Swaminathan, X Gu, T Joachims… - arXiv preprint arXiv …, 2016