Adaptive Online Hyper-Parameters Tuning for Ad Event-Prediction Models-Reference-Cited by-同舟云学术

Adaptive Online Hyper-Parameters Tuning for Ad Event-Prediction Models

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
language:
Short-container-title:

Author:

Aharon Michal¹,Kagian Amit¹,Somekh Oren¹

Affiliation:

1. Yahoo Research, Haifa, Israel

Publisher

ACM Press

Reference10 articles.

1. Michal Aharon, Natalie Aizenberg, Edward Bortnikov, Ronny Lempel, Roi Adadi, Tomer Benyamini, Liron Levin, Ran Roth, and Ohad Serfaty. Off-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings. In Proc. RecSys'2013, pages 375--378, 2013.

2. James Bergstra and Yoshua Bengio. Random search for hyper-parameter optimization. Journal of Machine Learning Research, 13(Feb):281--305, 2012.

3. Simon Chan, Philip Treleaven, and Licia Capra. Continuous hyperparameter optimization for large-scale recommender systems. In Big Data, 2013 IEEE International Conference on, pages 350--358. IEEE, 2013.

4. Jeffrey Dean and Sanjay Ghemawat. Mapreduce: simplified data processing on large clusters. Communications of the ACM, 51(1):107--113, 2008.

5. John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, pages 2121--2159, 2011.

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mystique: A Budget Pacing System for Performance Optimization in Online Advertising;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

2. Improving conversion rate prediction via self-supervised pre-training in online advertising;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Audience Prospecting for Dynamic-Product-Ads in Native Advertising;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting;IEEE Transactions on Big Data;2023-02-01

5. Dynamic Length Factorization Machines for CTR Prediction;2021 IEEE International Conference on Big Data (Big Data);2021-12-15