Krishnaram Kenthapadi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
22
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification. | Praphul Singh, Charlotte Dzialo, Jangwon Kim, Sumana Srivatsa, Irfan Bulu, Sri Gadde, Krishnaram Kenthapadi |
| 2025 | NAACL | Mastering the Craft of Data Synthesis for CodeLLMs. | Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Duc Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li |
| 2024 | KDD | Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). | Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly |
| 2023 | KDD | Generative AI meets Responsible AI: Practical Challenges and Opportunities. | Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2022 | AISTATS | Pairwise Fairness for Ordinal Regression. | Matthus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell |
| 2022 | HCOMP | A Human-Centric Perspective on Model Monitoring. | Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi |
| 2022 | ICLR | COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. | Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li |
| 2022 | ICML | Generating Distributional Adversarial Examples to Evade Statistical Detectors. | Yigitcan Kaya, Muhammad Bilal Zafar, Sergl Aydre, Nathalie Rauschmayr, Krishnaram Kenthapadi |
| 2022 | KDD | Model Monitoring in Practice: Lessons Learned and Open Challenges. | Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki |
| 2022 | KDD | Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. | David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi |
| 2022 | KDD | Profiling Deep Learning Workloads at Scale using Amazon SageMaker. | Nathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi |
| 2021 | ACL | On the Lack of Robust Interpretability of Neural Text Classifiers. | Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cdric Archambeau, Sanjiv Das, Krishnaram Kenthapadi |
| 2021 | AIES | Minimax Group Fairness: Algorithms and Experiments. | Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth |
| 2021 | AIES | Towards Unbiased and Accurate Deferral to Multiple Experts. | Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi |
| 2021 | AIES | Fair Bayesian Optimization. | Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cdric Archambeau |
| 2021 | ICML | Differentially Private Query Release Through Adaptive Projection. | Sergl Aydre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva |
| 2021 | KDD | Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. | Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi |
| 2021 | KDD | Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. | 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 W. Seeger, Cdric Archambeau |
| 2020 | CIKM | LiFT: A Scalable Framework for Measuring Fairness in ML Applications. | Sriram Vasudevan, Krishnaram Kenthapadi |
| 2020 | KDD | Evaluating Fairness Using Permutation Tests. | Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal |
| 2020 | WWW | Explainable AI in Industry: Practical Challenges and Lessons Learned. | Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly |
| 2019 | KDD | Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. | Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell |
| 2019 | KDD | Explainable AI in Industry. | Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly |
| 2019 | KDD | Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. | Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi |
| 2019 | NAACL | What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. | Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai |
| 2019 | WWW | Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. | Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell |
| 2019 | WWW | Privacy-preserving Data Mining in Industry. | Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Thakurta |
| 2019 | WSDM | Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. | Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell |
| 2019 | WSDM | Privacy-preserving Data Mining in Industry. | Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Guha Thakurta |
| 2018 | CIKM | PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn. | Krishnaram Kenthapadi, Thanh T. L. Tran |
| 2018 | CIKM | Towards Deep and Representation Learning for Talent Search at LinkedIn. | Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik |
| 2018 | KDD | How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. | Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi |
| 2018 | SIGIR | Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. | Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi |
| 2017 | CIKM | Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. | Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal |
| 2017 | KDD | LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace. | Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi |
| 2017 | RecSys | Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned. | Krishnaram Kenthapadi, Benjamin Le, Ganesh Venkataraman |
| 2017 | SIGIR | Candidate Selection for Large Scale Personalized Search and Recommender Systems. | Dhruv Arya, Ganesh Venkataraman, Aman Grover, Krishnaram Kenthapadi |
| 2016 | KDD | CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents. | Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao |
| 2014 | CIKM | Similarity Search using Concept Graphs. | Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi |
| 2014 | EDM | Assigning Educational Videos at Appropriate Locations in Textbooks. | Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi |
| 2014 | ICFCA | Mining Videos from the Web for Electronic Textbooks. | Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan |
| 2013 | CIKM | Studying from electronic textbooks. | Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi |
| 2013 | WWW | Group chats on Twitter. | James Cook, Krishnaram Kenthapadi, Nina Mishra |
| 2012 | KDD | Empowering authors to diagnose comprehension burden in textbooks. | Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi |
| 2012 | WSDM | Of hammers and nails: an empirical comparison of three paradigms for processing large graphs. | Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi |
| 2011 | CIKM | Enriching textbooks with images. | Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi |
| 2011 | WWW | Identifying enrichment candidates in textbooks. | Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi |
| 2011 | SIGIR | Indexing strategies for graceful degradation of search quality. | Shuai Ding, Sreenivas Gollapudi, Samuel Ieong, Krishnaram Kenthapadi, Alexandros Ntoulas |
| 2009 | WWW | Releasing search queries and clicks privately. | Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas |
| 2009 | WSDM | Generating labels from clicks. | Rakesh Agrawal, Alan Halverson, Krishnaram Kenthapadi, Nina Mishra, Panayiotis Tsaparas |
| 2006 | EuroCrypt | Our Data, Ourselves: Privacy Via Distributed Noise Generation. | Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor |
| 2006 | PODS | Achieving anonymity via clustering. | Gagan Aggarwal, Toms Feder, Krishnaram Kenthapadi, Samir Khuller, Rina Panigrahy, Dilys Thomas, An Zhu |
| 2006 | SODA | Balanced allocation on graphs. | Krishnaram Kenthapadi, Rina Panigrahy |
| 2006 | VLDB | Towards Robustness in Query Auditing. | Shubha U. Nabar, Bhaskara Marthi, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani |
| 2005 | CIDR | Two Can Keep A Secret: A Distributed Architecture for Secure Database Services. | Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Ying Xu |
| 2005 | ICDT | Anonymizing Tables. | Gagan Aggarwal, Toms Feder, Krishnaram Kenthapadi, Rajeev Motwani, Rina Panigrahy, Dilys Thomas, An Zhu |
| 2005 | PODS | Simulatable auditing. | Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim |
| 2005 | SPAA | Decentralized algorithms using both local and random probes for P2P load balancing. | Krishnaram Kenthapadi, Gurmeet Singh Manku |
| 2004 | VLDB | Vision Paper: Enabling Privacy for the Paranoids. | Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Jennifer Widom, Ying Xu |