Steven Yoo

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All published works

Action	Title	Year	Authors
+	Automatic Historical Feature Generation through Tree-based Method in Ads Prediction	2020	Hongjian Wang Qi Li Lanbo Zhang Yue Lu Steven Yoo Srinivas Vadrevu Zhenhui Li
+ PDF Chat	Addressing delayed feedback for continuous training with neural networks in CTR prediction	2019	Sofia Ira Ktena Alykhan Tejani Lucas Theis Pranay Kumar Myana Deepak Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi
+	Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction	2019	Sofia Ira Ktena Alykhan Tejani Lucas Theis Pranay Kumar Myana Deepak Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi

Common Coauthors

Coauthor	Papers Together
Alykhan Tejani	2
Deepak Dilipkumar	2
Sofia Ira Ktena	2
Pranay Kumar Myana	2
Ferenc Huszár	2
Lucas Theis	2
Wenzhe Shi	2
Lanbo Zhang	1
Yue Lu	1
Srinivas Vadrevu	1
Zhenhui Li	1
Qi Li	1
Hongjian Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies	2015	Peter C. Austin Elizabeth A. Stuart	2
+ PDF Chat	Top-K Off-Policy Correction for a REINFORCE Recommender System	2019	Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H.	2
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	Positive-Unlabeled Learning with Non-Negative Risk Estimator	2017	Ryuichi Kiryo Gang Niu Marthinus Christoffel du Plessis Masashi Sugiyama	2
+	Online Deep Learning: Learning Deep Neural Networks on the Fly	2018	Doyen Sahoo Quang Pham Jing Lü Steven C. H. Hoi	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System	2017	Xun Liu Wei Xue Lei Xiao Bo Zhang	2
+ PDF Chat	A bagging SVM to learn from positive and unlabeled examples	2013	Fantine Mordelet Jean‐Philippe Vert	2
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+ PDF Chat	Deep CTR Prediction in Display Advertising	2016	Junxuan Chen Baigui Sun Hao Li Hongtao Lu Xian–Sheng Hua	1
+	Stochastic Bandit Models for Delayed Conversions	2017	Claire Vernade Olivier Cappé Vianney Perchet	1
+	A Nonparametric Delayed Feedback Model for Conversion Rate Prediction	2018	Yuya Yoshikawa Yusaku Imai	1
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+ PDF Chat	Collaborative Filtering Bandits	2016	Shuai Li Alexandros Karatzoglou Claudio Gentile	1
+	The Statistical Analysis of Failure Time Data	2003	Ørnulf Borgan	1