Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Krishnaram Kenthapadi

Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models


Nov 26, 2021
David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi


  Access Paper or Ask Questions

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


Sep 07, 2021
Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi

* In Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2974-2983 (2021) 

  Access Paper or Ask Questions

Multiaccurate Proxies for Downstream Fairness


Jul 09, 2021
Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi


  Access Paper or Ask Questions

On the Lack of Robust Interpretability of Neural Text Classifiers


Jun 08, 2021
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, CĂ©dric Archambeau, Sanjiv Das, Krishnaram Kenthapadi

* Appearing at ACL Findings 2021 

  Access Paper or Ask Questions

On Measuring the Diversity of Organizational Networks


May 14, 2021
Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan

* 12 pages, 3 figures, accepted in CompleNet 2021 

  Access Paper or Ask Questions

Pairwise Fairness for Ordinal Regression


May 07, 2021
MatthÀus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell


  Access Paper or Ask Questions

Differentially Private Query Release Through Adaptive Projection


Mar 11, 2021
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva


  Access Paper or Ask Questions

Towards Unbiased and Accurate Deferral to Multiple Experts


Feb 25, 2021
Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi


  Access Paper or Ask Questions

Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy


Feb 11, 2021
Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi


  Access Paper or Ask Questions

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, CĂ©dric Archambeau


  Access Paper or Ask Questions

Convergent Algorithms for (Relaxed) Minimax Fairness


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


  Access Paper or Ask Questions

Fairness-Aware Online Personalization


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

* Accepted in RecSys 2020, FAccTRec Workshop: Responsible Recommendation 

  Access Paper or Ask Questions

LiFT: A Scalable Framework for Measuring Fairness in ML Applications


Aug 14, 2020
Sriram Vasudevan, Krishnaram Kenthapadi

* Accepted for publication in CIKM 2020 

  Access Paper or Ask Questions

Fair Bayesian Optimization


Jun 09, 2020
Valerio Perrone, Michele Donini, Krishnaram Kenthapadi, CĂ©dric Archambeau


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions