Krishnaram Kenthapadi

132 papers A* 30A 15B 5C 4Journal 52Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cite-While-You-Generate: Training-Free Evidence Attribution for Multimodal Clinical Summarization. CoRR Qianqi Yan, Huy Nguyen, Sumana Srivatsa, Hari Bandi, Xin Eric Wang, Krishnaram Kenthapadi
2025	J	`jnl`	Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment. CoRR Huy Nghiem, Swetasudha Panda, Devashish Khatwani, Huy V. Nguyen, Krishnaram Kenthapadi, Hal Daumé III
2025	J	`jnl`	JEDA: Query-Free Clinical Order Search from Ambient Dialogues. CoRR Praphul Singh, Corey D. Barrett, Sumana Srivasta, Amitabh Saikia, Irfan Ullah, Sri Gadde, Krishnaram Kenthapadi
2025	—	`conf`	Mastering the Craft of Data Synthesis for CodeLLMs. NAACL (Long Papers) 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
2025	J	`jnl`	OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration. CoRR Praphul Singh, Corey D. Barrett, Sumana Srivasta, Irfan Ullah, Sri Gadde, Krishnaram Kenthapadi
2025	J	`jnl`	Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards. CoRR Samyak Jhaveri, Praphul Singh, Jangwon Kim, Tara Taghavi, Krishnaram Kenthapadi
2025	J	`jnl`	Permissioned LLMs: Enforcing Access Control in Large Language Models. CoRR Bargav Jayaraman, Virendra J. Marathe, Hamid Mozaffari, William F. Shen, Krishnaram Kenthapadi
2025	J	`jnl`	RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows. CoRR Kai Zhang, Corey D. Barrett, Jangwon Kim, Lichao Sun, Tara Taghavi, Krishnaram Kenthapadi
2025	—	`conf`	RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification. ACL (6) Praphul Singh, Charlotte Dzialo, Jangwon Kim, Sumana Srivatsa, Irfan Bulu, Sri Gadde, Krishnaram Kenthapadi
2025	J	`jnl`	RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification. CoRR Praphul Singh, Charlotte Dzialo, Jangwon Kim, Sumana Srivatsa, Irfan Ullah, Sri Gadde, Krishnaram Kenthapadi
2025	J	`jnl`	Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr
2024	A*	`conf`	Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). KDD Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
2024	J	`jnl`	Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). CoRR Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly
2024	J	`jnl`	Mastering the Craft of Data Synthesis for CodeLLMs. CoRR Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li
2023	—	`conf`	Designing Closed-Loop Models for Task Allocation. HHAI Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
2023	J	`jnl`	Designing Closed-Loop Models for Task Allocation. CoRR Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease
2023	A*	`conf`	Generative AI meets Responsible AI: Practical Challenges and Opportunities. KDD Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani
2023	J	`jnl`	Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings. CoRR Gyandev Gupta, Bashir Rastegarpanah, Amalendu Iyer, Joshua Rubin, Krishnaram Kenthapadi
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-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 Küçük-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	B	`conf`	A Human-Centric Perspective on Model Monitoring. HCOMP Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi
2022	J	`jnl`	A Human-Centric Take on Model Monitoring. CoRR Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi
2022	A*	`conf`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. KDD David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2022	A*	`conf`	Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. NeurIPS Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
2022	J	`jnl`	Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks. CoRR Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell
2022	A*	`conf`	COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022	J	`jnl`	COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022	J	`jnl`	Designing Closed Human-in-the-loop Deferral Pipelines. CoRR Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2022	J	`jnl`	Diverse Counterfactual Explanations for Anomaly Detection in Time Series. CoRR Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau
2022	A*	`conf`	Generating Distributional Adversarial Examples to Evade Statistical Detectors. ICML Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi
2022	—	`conf`	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. FAccT Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
2022	J	`jnl`	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness. CoRR Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi
2022	A*	`conf`	Model Monitoring in Practice: Lessons Learned and Open Challenges. KDD Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki
2022	—	`conf`	Multiaccurate Proxies for Downstream Fairness. FAccT Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
2022	A	`conf`	Pairwise Fairness for Ordinal Regression. AISTATS Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2022	A*	`conf`	Profiling Deep Learning Workloads at Scale using Amazon SageMaker. KDD Nathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi
2022	J	`jnl`	Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users. CoRR Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski
2022	—	`conf`	Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. IEEE VIS (Short Papers) David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
2022	J	`jnl`	Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases. CoRR David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau
2021	A*	`conf`	Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. KDD 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, Cédric Archambeau
2021	A*	`conf`	Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD 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	J	`jnl`	Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR 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	—	`conf`	Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training. MLSys Nathalie Rauschmayr, Vikas Kumar, Rahul Huilgol, Andrea Olgiati, Satadal Bhattacharjee, Nihal Harish, Vandana Kannan, Amol Lele, Anirudh Acharya, Jared Nielsen, Lakshmi Ramakrishnan, Ishan Bhatt, Kohen Chia, Neelesh Dodda, Zhihan Li, Jiacheng Gu, Miyoung Choi, Balajee Nagarajan, Jeffrey Geevarghese, Denis Davydenko, Sifei Li, Lu Huang, Edward Kim, Tyler Hill, Krishnaram Kenthapadi
2021	J	`jnl`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. CoRR David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2021	J	`jnl`	Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy. CoRR Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi
2021	A*	`conf`	Differentially Private Query Release Through Adaptive Projection. ICML Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva
2021	J	`jnl`	Differentially Private Query Release Through Adaptive Projection. CoRR Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva
2021	C	`conf`	Fair Bayesian Optimization. AIES Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau
2021	C	`conf`	Minimax Group Fairness: Algorithms and Experiments. AIES Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth
2021	J	`jnl`	More Than Words: Towards Better Quality Interpretations of Text Classifiers. CoRR Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi
2021	J	`jnl`	Multiaccurate Proxies for Downstream Fairness. CoRR Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi
2021	J	`jnl`	On Measuring the Diversity of Organizational Networks. CoRR Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan
2021	—	`conf`	On the Lack of Robust Interpretability of Neural Text Classifiers. ACL/IJCNLP (Findings) Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
2021	J	`jnl`	On the Lack of Robust Interpretability of Neural Text Classifiers. CoRR Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
2021	J	`jnl`	Pairwise Fairness for Ordinal Regression. CoRR Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
2021	C	`conf`	Towards Unbiased and Accurate Deferral to Multiple Experts. AIES Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2021	J	`jnl`	Towards Unbiased and Accurate Deferral to Multiple Experts. CoRR Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi
2020	J	`jnl`	Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. CoRR 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, Cédric Archambeau
2020	—	`conf`	Bridging the gap from AI ethics research to practice. FAT* Kathy Baxter, Yoav Schlesinger, Sarah Aerni, Lewis J. Baker, Julie Dawson, Krishnaram Kenthapadi, Isabel M. Kloumann, Hanna M. Wallach
2020	J	`jnl`	Convergent Algorithms for (Relaxed) Minimax Fairness. CoRR Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth
2020	A*	`conf`	Evaluating Fairness Using Permutation Tests. KDD Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
2020	—	`conf`	Explainable AI in Industry: Practical Challenges and Lessons Learned. WWW (Companion Volume) Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2020	—	`conf`	Explainable AI in industry: practical challenges and lessons learned: implications tutorial. FAT* Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2020	J	`jnl`	Fair Bayesian Optimization. CoRR Valerio Perrone, Michele Donini, Krishnaram Kenthapadi, Cédric Archambeau
2020	J	`jnl`	Fairness-Aware Online Personalization. CoRR G. Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi
2020	A	`conf`	LiFT: A Scalable Framework for Measuring Fairness in ML Applications. CIKM Sriram Vasudevan, Krishnaram Kenthapadi
2020	J	`jnl`	LiFT: A Scalable Framework for Measuring Fairness in ML Applications. CoRR Sriram Vasudevan, Krishnaram Kenthapadi
2019	—	`conf`	Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. FAT Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
2019	J	`jnl`	Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. CoRR Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai
2019	A*	`conf`	Explainable AI in Industry. KDD Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly
2019	A*	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	A	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	—	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	A*	`conf`	Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. KDD Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi
2019	J	`jnl`	Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. CoRR Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi
2019	A	`conf`	Privacy-preserving Data Mining in Industry. WSDM Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Guha Thakurta
2019	—	`conf`	Privacy-preserving Data Mining in Industry. WWW (Companion Volume) Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Thakurta
2019	—	`conf`	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) 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	J	`jnl`	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai
2018	A*	`conf`	How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. KDD Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi
2018	J	`jnl`	How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary. CoRR Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi
2018	A	`conf`	PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn. CIKM Krishnaram Kenthapadi, Thanh T. L. Tran
2018	J	`jnl`	PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn. CoRR Krishnaram Kenthapadi, Thanh T. L. Tran
2018	A*	`conf`	Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. SIGIR Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi
2018	J	`jnl`	Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. CoRR Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi
2018	A	`conf`	Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
2018	J	`jnl`	Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
2017	A	`conf`	Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. CIKM Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
2017	J	`jnl`	Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. CoRR Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
2017	A*	`conf`	Candidate Selection for Large Scale Personalized Search and Recommender Systems. SIGIR Dhruv Arya, Ganesh Venkataraman, Aman Grover, Krishnaram Kenthapadi
2017	J	`jnl`	Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems. CoRR Jian Wang, Krishnaram Kenthapadi, Kaushik Rangadurai, David Hardtke
2017	A*	`conf`	LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace. KDD Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi
2017	—	`conf`	LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers. PAC Krishnaram Kenthapadi, Ahsan Chudhary, Stuart Ambler
2017	J	`jnl`	LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers. CoRR Krishnaram Kenthapadi, Ahsan Chudhary, Stuart Ambler
2017	A	`conf`	Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned. RecSys Krishnaram Kenthapadi, Benjamin Le, Ganesh Venkataraman
2016	A*	`conf`	CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents. KDD Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao
2014	B	`conf`	Assigning Educational Videos at Appropriate Locations in Textbooks. EDM Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
2014	B	`conf`	Assigning videos to textbooks at appropriate granularity. L@S Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi
2014	B	`conf`	Evaluating educational interventions at scale. L@S Rakesh Agrawal, M. Hanif Jhaveri, Krishnaram Kenthapadi
2014	C	`conf`	Mining Videos from the Web for Electronic Textbooks. ICFCA Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan
2014	—	`ed.`	Proceedings of the Fifth ACM Symposium on Computing for Development, ACM DEV 2014, San Jose, CA, USA, December 5-6, 2014 ACM DEV Anitha Kannan, Krishnaram Kenthapadi, Shankar Kalyanaraman, Marshini Chetty, Vanessa Frías-Martínez
2014	—	`conf`	Ranking Twitter discussion groups. COSN James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra
2014	A	`conf`	Similarity Search using Concept Graphs. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2013	J	`jnl`	Denials leak information: Simulatable auditing. J. Comput. Syst. Sci. Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim
2013	A*	`conf`	Group chats on Twitter. WWW James Cook, Krishnaram Kenthapadi, Nina Mishra
2013	J	`jnl`	Privacy via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
2013	A	`conf`	Studying from electronic textbooks. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	—	`conf`	Electronic Textbooks and Data Mining. WAIM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A*	`conf`	Empowering authors to diagnose comprehension burden in textbooks. KDD Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2012	A	`conf`	Of hammers and nails: an empirical comparison of three paradigms for processing large graphs. WSDM Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi
2012	J	`jnl`	Privacy via the Johnson-Lindenstrauss Transform CoRR Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
2012	—	`conf`	Quality of textbooks: an empirical study. ACM DEV Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	J	`jnl`	Data mining for improving textbooks. SIGKDD Explor. Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	—	`conf`	Enriching Education through Data Mining. PReMI Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	A	`conf`	Enriching textbooks with images. CIKM Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	—	`conf`	Identifying enrichment candidates in textbooks. WWW (Companion Volume) Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi
2011	A*	`conf`	Indexing strategies for graceful degradation of search quality. SIGIR Shuai Ding, Sreenivas Gollapudi, Samuel Ieong, Krishnaram Kenthapadi, Alexandros Ntoulas
2010	J	`jnl`	Achieving anonymity via clustering. ACM Trans. Algorithms Gagan Aggarwal, Rina Panigrahy, Tomás Feder, Dilys Thomas, Krishnaram Kenthapadi, Samir Khuller, An Zhu
2010	—	`conf`	Enriching textbooks through data mining. ACM DEV Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu
2009	A	`conf`	Generating labels from clicks. WSDM Rakesh Agrawal, Alan Halverson, Krishnaram Kenthapadi, Nina Mishra, Panayiotis Tsaparas
2009	A*	`conf`	Releasing search queries and clicks privately. WWW Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas
2008	—	`ch.`	A Survey of Query Auditing Techniques for Data Privacy. Privacy-Preserving Data Mining Shubha U. Nabar, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani
2006	A*	`conf`	Achieving anonymity via clustering. PODS Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Samir Khuller, Rina Panigrahy, Dilys Thomas, An Zhu
2006	A*	`conf`	Balanced allocation on graphs. SODA Krishnaram Kenthapadi, Rina Panigrahy
2006	—	`—`	Models and algorithms for data privacy. Krishnaram Kenthapadi
2006	A*	`conf`	Our Data, Ourselves: Privacy Via Distributed Noise Generation. EUROCRYPT Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor
2006	A*	`conf`	Towards Robustness in Query Auditing. VLDB Shubha U. Nabar, Bhaskara Marthi, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani
2005	A	`conf`	Anonymizing Tables. ICDT Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Rajeev Motwani, Rina Panigrahy, Dilys Thomas, An Zhu
2005	J	`jnl`	Balanced Allocation on Graphs CoRR Krishnaram Kenthapadi, Rina Panigrahy
2005	B	`conf`	Decentralized algorithms using both local and random probes for P2P load balancing. SPAA Krishnaram Kenthapadi, Gurmeet Singh Manku
2005	A*	`conf`	Simulatable auditing. PODS Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim
2005	A	`conf`	Two Can Keep A Secret: A Distributed Architecture for Secure Database Services. CIDR Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Ying Xu
2004	A*	`conf`	Vision Paper: Enabling Privacy for the Paranoids. VLDB Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Jennifer Widom, Ying Xu