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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization

Dec 15, 2020
Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias Seeger, Cédric Archambeau


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Convergent Algorithms for (Relaxed) Minimax Fairness

Nov 05, 2020
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth


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Fairness-Aware Online Personalization

Sep 06, 2020
G Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi

* Accepted in RecSys 2020, FAccTRec Workshop: Responsible Recommendation 

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LiFT: A Scalable Framework for Measuring Fairness in ML Applications

Aug 14, 2020
Sriram Vasudevan, Krishnaram Kenthapadi

* Accepted for publication in CIKM 2020 

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Fair Bayesian Optimization

Jun 09, 2020
Valerio Perrone, Michele Donini, Krishnaram Kenthapadi, Cédric Archambeau


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Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

May 21, 2019
Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi

* This paper has been accepted for publication at ACM KDD 2019 

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What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

Apr 10, 2019
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai

* Accepted at NAACL 2019; Best Thematic Paper 

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Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

Jan 27, 2019
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai

* Accepted at ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2019 

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Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned

Sep 18, 2018
Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi

* This paper has been accepted for publication at ACM SIGIR 2018 

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Towards Deep and Representation Learning for Talent Search at LinkedIn

Sep 17, 2018
Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik

* This paper has been accepted for publication in ACM CIKM 2018 

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Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary

Sep 01, 2017
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal

* Conference information: ACM International Conference on Information and Knowledge Management (CIKM 2017) 

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