Sahin Cem Geyik

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All published works
Action Title Year Authors
+ Fairness-Aware Online Personalization. 2020 G. Roshan Lal
Sahin Cem Geyik
Krishnaram Kenthapadi
+ Fairness-Aware Online Personalization 2020 G Roshan Lal
Sahin Cem Geyik
Krishnaram Kenthapadi
+ PDF Chat Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search 2019 Sahin Cem Geyik
Stuart Ambler
Krishnaram Kenthapadi
+ PDF Chat Entity Personalized Talent Search Models with Tree Interaction Features 2019 Cagri Ozcaglar
Sahin Cem Geyik
Brian Schmitz
Prakhar Sharma
Alex Shelkovnykov
Yiming Ma
Erik Buchanan
+ PDF Chat Bias in Bios 2019 Maria De‐Arteaga
Alexey Romanov
Hanna Wallach
Jennifer Chayes
Christian Borgs
Alexandra Chouldechova
Sahin Cem Geyik
Krishnaram Kenthapadi
Adam Tauman Kalai
+ What's in a Name? Reducing Bias in Bios without Access to Protected Attributes 2019 Alexey Romanov
Maria De‐Arteaga
Hanna Wallach
Jennifer Chayes
Christian Borgs
Alexandra Chouldechova
Sahin Cem Geyik
Krishnaram Kenthapadi
Anna Rumshisky
Adam Tauman Kalai
+ PDF Chat In-Session Personalization for Talent Search 2018 Sahin Cem Geyik
Vijay Dialani
Meng Meng
Ryan Smith
+ PDF Chat Towards Deep and Representation Learning for Talent Search at LinkedIn 2018 Rohan Ramanath
Hakan Inan
Gungor Polatkan
Bo Hu
Qi Guo
Cagri Ozcaglar
Xianren Wu
Krishnaram Kenthapadi
Sahin Cem Geyik
+ In-Session Personalization for Talent Search 2018 Sahin Cem Geyik
Vijay Dialani
Meng Meng
Ryan Smith
+ Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned 2018 Sahin Cem Geyik
Qi Guo
Bo Hu
Cagri Ozcaglar
Ketan Thakkar
Xianren Wu
Krishnaram Kenthapadi
+ Towards Deep and Representation Learning for Talent Search at LinkedIn 2018 Rohan Ramanath
Hakan Inan
Gungor Polatkan
Bo Hu
Qi Guo
Cagri Ozcaglar
Xianren Wu
Krishnaram Kenthapadi
Sahin Cem Geyik
+ Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned 2018 Sahin Cem Geyik
Qi Guo
Bo Hu
Cagri Ozcaglar
Ketan Thakkar
Xianren Wu
Krishnaram Kenthapadi
+ Towards Deep and Representation Learning for Talent Search at LinkedIn 2018 Rohan Ramanath
Hakan Inan
Gungor Polatkan
Bo Hu
Qi Guo
Cagri Ozcaglar
Xianren Wu
Krishnaram Kenthapadi
Sahin Cem Geyik
+ In-Session Personalization for Talent Search 2018 Sahin Cem Geyik
Vijay Dialani
Meng Meng
Ryan Smith
+ Towards Data Quality Assessment in Online Advertising 2017 Sahin Cem Geyik
Jianqiang Shen
Shahriar Shariat
Ali Dasdan
Santanu Kolay
+ Multi-Touch Attribution Based Budget Allocation in Online Advertising 2015 Sahin Cem Geyik
Abhishek Saxena
Ali Dasdan
+ User Clustering in Online Advertising via Topic Models 2015 Sahin Cem Geyik
Ali Dasdan
Kuang-Chih Lee
+ Multi-Touch Attribution Based Budget Allocation in Online Advertising 2015 Sahin Cem Geyik
Abhishek Saxena
Ali Dasdan
+ PDF Chat Multi-Touch Attribution Based Budget Allocation in Online Advertising 2014 Sahin Cem Geyik
Abhishek Saxena
Ali Dasdan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Personalized expertise search at LinkedIn 2015 Viet Ha−Thuc
Ganesh Venkataraman
Mario Rodriguez
Shakti Sinha
Senthil Sundaram
Lin Guo
6
+ PDF Chat Semantics derived automatically from language corpora contain human-like biases 2017 Aylin Caliskan
Joanna J. Bryson
Arvind Narayanan
4
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
4
+ PDF Chat Fairness through awareness 2012 Cynthia Dwork
Moritz Hardt
Toniann Pitassi
Omer Reingold
Richard S. Zemel
4
+ Estimating conversion rate in display advertising from past erformance data 2012 Kuang-Chih Lee
Burkay Orten
Ali Dasdan
Wentong Li
4
+ PDF Chat Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn 2016 Viet Ha−Thuc
Ye Xu
Satya Pradeep Kanduri
Xianren Wu
Vijay Dialani
Yan Yan
Abhishek Gupta
Shakti Sinha
3
+ Measuring Fairness in Ranked Outputs 2017 Ke Yang
Julia Stoyanovich
3
+ PDF Chat Search by Ideal Candidates 2016 Viet Ha−Thuc
Ye Xu
Satya Pradeep Kanduri
Xianren Wu
Vijay Dialani
Yan Yan
Abhishek Gupta
Shakti Sinha
3
+ PDF Chat Search by Ideal Candidates: Next Generation of Talent Search at LinkedIn 2016 Viet Ha−Thuc
Ye Xu
Satya Pradeep Kanduri
Xianren Wu
Vijay Dialani
Yan Yan
Abhishek Gupta
Shakti Sinha
3
+ PDF Chat FA*IR 2017 Meike Zehlike
Francesco Bonchi
Carlos Castillo
Sara Hajian
M. Megahed
Ricardo Baeza‐Yates
3
+ XGBoost 2016 Tianqi Chen
Carlos Guestrin
3
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
2
+ ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES 1933 W. R THOMPSON
2
+ On the Consistency of AUC Pairwise Optimization 2012 Wei Gao
Zhi‐Hua Zhou
2
+ Causally motivated attribution for online advertising 2012 B D'Alessandro
Claudia Perlich
Ori Stitelman
Foster Provost
2
+ PDF Chat Real time bid optimization with smooth budget delivery in online advertising 2013 Kuang-Chih Lee
Ali Jalali
Ali Dasdan
2
+ PDF Chat Equity of Attention 2018 Asia J. Biega
Krishna P. Gummadi
Gerhard Weikum
2
+ On the (im)possibility of fairness 2016 Sorelle A. Friedler
Carlos Scheidegger
Suresh Venkatasubramanian
2
+ Fairness of Exposure in Rankings 2018 Ashudeep Singh
Thorsten Joachims
2
+ PDF Chat A Deep Relevance Matching Model for Ad-hoc Retrieval 2016 Jiafeng Guo
Yixing Fan
Qingyao Ai
W. Bruce Croft
2
+ Ranking with Fairness Constraints 2018 L. Elisa Celis
Damian Straszak
Nisheeth K. Vishnoi
2
+ Bandit problems with side observations 2005 Chih-Chun Wang
Sanjeev R. Kulkarni
H. Vincent Poor
2
+ PDF Chat Algorithm Selection for Combinatorial Search Problems: A Survey 2016 Lars Kotthoff
2
+ Distributed Representations of Words and Phrases and their Compositionality 2013 Tomáš Mikolov
Ilya Sutskever
Kai Chen
Greg S. Corrado
Jay B. Dean
2
+ PDF Chat Algorithmic Decision Making and the Cost of Fairness 2017 Sam Corbett‐Davies
Emma Pierson
Avi Feller
Sharad Goel
Aziz Z. Huq
2
+ Convolutional Neural Network Architectures for Matching Natural Language Sentences 2015 Baotian Hu
Zhengdong Lu
Hang Li
Qingcai Chen
2
+ PDF Chat DeepWalk 2014 Bryan Perozzi
Rami Al‐Rfou
Steven Skiena
2
+ PDF Chat LINE 2015 Jian Tang
Meng Qu
Wang Ming-zhe
Ming Zhang
Jun Yan
Qiaozhu Mei
2
+ Incremental Factorization Machines for Persistently Cold-starting Online Item Recommendation 2016 Takuya Kitazawa
2
+ PDF Chat In-Session Personalization for Talent Search 2018 Sahin Cem Geyik
Vijay Dialani
Meng Meng
Ryan Smith
1
+ PDF Chat Towards Deep and Representation Learning for Talent Search at LinkedIn 2018 Rohan Ramanath
Hakan Inan
Gungor Polatkan
Bo Hu
Qi Guo
Cagri Ozcaglar
Xianren Wu
Krishnaram Kenthapadi
Sahin Cem Geyik
1
+ PDF Chat What are the Biases in My Word Embedding? 2019 Nathaniel Swinger
Maria De‐Arteaga
Neil T. Heffernan
Mark D.M. Leiserson
Adam Tauman Kalai
1
+ PDF Chat Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search 2019 Sahin Cem Geyik
Stuart Ambler
Krishnaram Kenthapadi
1
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
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
+ Learning to Rank Personalized Search Results in Professional Networks 2016 Viet Ha−Thuc
Shakti Sinha
1
+ Personalized Expertise Search at LinkedIn 2016 Viet Ha−Thuc
Ganesh Venkataraman
Mario Rodriguez
Shakti Sinha
Senthil Sundaram
Lin Guo
1
+ Enriching Word Vectors with Subword Information 2016 Piotr Bojanowski
Édouard Grave
Armand Joulin
Tomáš Mikolov
1
+ PDF Chat Designing Fair Ranking Schemes 2019 Abolfazl Asudeh
H. V. Jagadish
Julia Stoyanovich
Gautam Das
1
+ Censoring Representations with an Adversary 2015 Harrison Edwards
Amos Storkey
1
+ Mitigating Unwanted Biases with Adversarial Learning 2018 Brian Hu Zhang
Blake Lemoine
Margaret Mitchell
1
+ Fairness in Recommendation Ranking through Pairwise Comparisons 2019 Alex Beutel
Jilin Chen
Tulsee Doshi
Hai Qian
Li Wei
Yi Wu
Lukasz Heldt
Zhe Zhao
Lichan Hong
Ed H.
1
+ Decoupled classifiers for fair and efficient machine learning 2017 Cynthia Dwork
Nicole Immorlica
Adam Tauman Kalai
Mark D.M. Leiserson
1
+ Avoiding Discrimination through Causal Reasoning 2017 Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
1
+ Gender Bias in Coreference Resolution 2018 Rachel Rudinger
Jason Naradowsky
Brian Leonard
Benjamin Van Durme
1
+ Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods 2018 Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordóñez
Kai-Wei Chang
1
+ PDF Chat A comparative study of fairness-enhancing interventions in machine learning 2019 Sorelle A. Friedler
Carlos Scheidegger
Suresh Venkatasubramanian
Sonam Choudhary
Evan P. Hamilton
Derek Roth
1
+ Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments 2017 Alexandra Chouldechova
1
+ PDF Chat Pairwise Fairness for Ranking and Regression 2020 Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Serena Wang
1
+ PDF Chat Fairness in Machine Learning 2020 Luca Oneto
Silvia Chiappa
1