papers

Publications (49)

cs.SI2017

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

Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang +1

cs.SE2025

Mastering the Craft of Data Synthesis for CodeLLMs

Meng Chen, Philip Arthur, Qianyu Feng +13

cs.LG2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Fan Wu, Linyi Li, Chejian Xu +5

cs.LG2021

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

Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi

cs.LG2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization

Valerio Perrone, Huibin Shen, Aida Zolic +12

cs.CL2021

More Than Words: Towards Better Quality Interpretations of Text Classifiers

Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini +4

cs.LG2021

Minimax Group Fairness: Algorithms and Experiments

Emily Diana, Wesley Gill, Michael Kearns +2

cs.CL2021

On the Lack of Robust Interpretability of Neural Text Classifiers

Muhammad Bilal Zafar, Michele Donini, Dylan Slack +3

cs.LG2020

LiFT: A Scalable Framework for Measuring Fairness in ML Applications

Sriram Vasudevan, Krishnaram Kenthapadi

cs.AI2025

OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration

Praphul Singh, Corey Barrett, Sumana Srivasta +3

cs.HC2022

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases

David Munechika, Zijie J. Wang, Jack Reidy +4

cs.LG2018

Towards Deep and Representation Learning for Talent Search at LinkedIn

Rohan Ramanath, Hakan Inan, Gungor Polatkan +6

cs.HC2022

Designing Closed Human-in-the-loop Deferral Pipelines

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

stat.ML2022

Pairwise Fairness for Ordinal Regression

Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar +2

cs.LG2022

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

David Nigenda, Zohar Karnin, Muhammad Bilal Zafar +4

cs.LG2019

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

Alexey Romanov, Maria De-Arteaga, Hanna Wallach +7

cs.CY2022

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi

cs.SI2018

How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary

Xi Chen, Yiqun Liu, Liang Zhang +1

cs.CL2024

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)

Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly

cs.LG2021

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

Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng +18

cs.AI2020

Fairness-Aware Online Personalization

G Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi

cs.SI2017

Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems

Jian Wang, Krishnaram Kenthapadi, Kaushik Rangadurai +1

cs.LG2025

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users

Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa +7

cs.AI2018

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

Sahin Cem Geyik, Qi Guo, Bo Hu +4

cs.CR2018

PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn

Krishnaram Kenthapadi, Thanh T. L. Tran

cs.SI2021

On Measuring the Diversity of Organizational Networks

Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan

cs.IR2019

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

Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi

cs.MA2026

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows

Kai Zhang, Corey D Barrett, Jangwon Kim +3

cs.AI2025

Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment

Huy Nghiem, Swetasudha Panda, Devashish Khatwani +3

cs.LG2021

Towards Unbiased and Accurate Deferral to Multiple Experts

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

cs.AI2025

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification

Praphul Singh, Charlotte Dzialo, Jangwon Kim +4

cs.HC2023

Designing Closed-Loop Models for Task Allocation

Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi +1

stat.AP2020

Evaluating Fairness Using Permutation Tests

Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu +2

cs.AI2025

JEDA: Query-Free Clinical Order Search from Ambient Dialogues

Praphul Singh, Corey Barrett, Sumana Srivasta +4

cs.LG2022

A Human-Centric Take on Model Monitoring

Murtuza N Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi

cs.IR2019

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

Maria De-Arteaga, Alexey Romanov, Hanna Wallach +6

cs.SI2017

LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers

Krishnaram Kenthapadi, Ahsan Chudhary, Stuart Ambler

cs.LG2022

Diverse Counterfactual Explanations for Anomaly Detection in Time Series

Deborah Sulem, Michele Donini, Muhammad Bilal Zafar +6

cs.CL2025

Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards

Samyak Jhaveri, Praphul Singh, Jangwon Kim +2

cs.DS2012

Privacy via the Johnson-Lindenstrauss Transform

Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov +1

cs.CL2026

From Attribution to Abstention: Training-Free Attention-Based Auditing for Clinical Summarization

Qianqi Yan, Huy Nguyen, Sumana Srivatsa +3

cs.LG2021

Differentially Private Query Release Through Adaptive Projection

Sergul Aydore, William Brown, Michael Kearns +4

cs.LG2022

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks

Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi +2

stat.ML2021

Fair Bayesian Optimization

Valerio Perrone, Michele Donini, Muhammad Bilal Zafar +3

cs.CL2025

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

Bo Ni, Zheyuan Liu, Leyao Wang +17

cs.LG2022

Multiaccurate Proxies for Downstream Fairness

Emily Diana, Wesley Gill, Michael Kearns +3

cs.CL2023

Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings

Gyandev Gupta, Bashir Rastegarpanah, Amalendu Iyer +2

cs.CV2026

CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging

Ashwin Kumar, Robbie Holland, Corey Barrett +8

cs.CR2025

Permissioned LLMs: Enforcing Access Control in Large Language Models

Bargav Jayaraman, Virendra J. Marathe, Hamid Mozaffari +2