| 2026 | CHI | Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts. | Hao-Ping (Hank) Lee, Yu-Ju Yang, Matthew Bilik, Isadora Krsek, Thomas Serban Von Davier, Kyzyl Monteiro, Jason Lin, Shivani Agarwal, Jodi Forlizzi, Sauvik Das |
| 2024 | AISTATS | Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. | Mingyuan Zhang, Shivani Agarwal |
| 2024 | ECIR | MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. | Akash Ghosh, Arkadeep Acharya, Prince Jha, Sriparna Saha, Aniket Gaudgaul, Rajdeep Majumdar, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal |
| 2021 | ALT | Stochastic Dueling Bandits with Adversarial Corruption. | Arpit Agarwal, Shivani Agarwal, Prathamesh Patil |
| 2021 | ICML | Learning from Noisy Labels with No Change to the Training Process. | Mingyuan Zhang, Jane H. Lee, Shivani Agarwal |
| 2020 | COLT | Conference on Learning Theory 2020: Preface. | Jacob D. Abernethy, Shivani Agarwal |
| 2020 | ICML | Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. | Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil |
| 2020 | ICML | Convex Calibrated Surrogates for the Multi-Label F-Measure. | Mingyuan Zhang, Harish Guruprasad Ramaswamy, Shivani Agarwal |
| 2018 | ICML | Accelerated Spectral Ranking. | Arpit Agarwal, Prathamesh Patil, Shivani Agarwal |
| 2017 | CIKM | Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. | Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo |
| 2017 | COLT | Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. | Arpit Agarwal, Shivani Agarwal, Sepehr Assadi, Sanjeev Khanna |
| 2016 | COLT | When can we rank well from comparisons of \(O(n\log(n))\) non-actively chosen pairs? | Arun Rajkumar, Shivani Agarwal |
| 2016 | IJCAI | On Ranking and Choice Models. | Shivani Agarwal |
| 2016 | IJCAI | Automated Mechanism Design without Money via Machine Learning. | Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes |
| 2015 | COLT | On Consistent Surrogate Risk Minimization and Property Elicitation. | Arpit Agarwal, Shivani Agarwal |
| 2015 | ICML | Consistent Multiclass Algorithms for Complex Performance Measures. | Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal |
| 2015 | ICML | Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. | Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal |
| 2015 | ICML | Convex Calibrated Surrogates for Hierarchical Classification. | Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal |
| 2015 | UAI | Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures. | C. G. Saneem Ahmed, Harikrishna Narasimhan, Shivani Agarwal |
| 2014 | COLT | On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. | Harish G. Ramaswamy, Balaji Srinivasan Babu, Shivani Agarwal, Robert C. Williamson |
| 2014 | ICML | GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. | Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal |
| 2014 | ICML | A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. | Arun Rajkumar, Shivani Agarwal |
| 2014 | ICMLA | Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit. | Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan, Sriram Sampath, Shivani Agarwal |
| 2013 | COLT | Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. | Shivani Agarwal |
| 2013 | ICML | On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. | Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla |
| 2013 | ICML | A Structural SVM Based Approach for Optimizing Partial AUC. | Harikrishna Narasimhan, Shivani Agarwal |
| 2013 | KDD | SVM | Harikrishna Narasimhan, Shivani Agarwal |
| 2011 | SDM | The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List. | Shivani Agarwal |
| 2010 | ECIR | Maximum Margin Ranking Algorithms for Information Retrieval. | Shivani Agarwal, Michael Collins |
| 2008 | ALT | Generalization Bounds for Some Ordinal Regression Algorithms. | Shivani Agarwal |
| 2006 | ICML | Ranking on graph data. | Shivani Agarwal |
| 2005 | AISTATS | A Uniform Convergence Bound for the Area Under the ROC Curve. | Shivani Agarwal, Sariel Har-Peled, Dan Roth |
| 2005 | COLT | Stability and Generalization of Bipartite Ranking Algorithms. | Shivani Agarwal, Partha Niyogi |
| 2005 | COLT | Learnability of Bipartite Ranking Functions. | Shivani Agarwal, Dan Roth |
| 2002 | ECCV | Learning a Sparse Representation for Object Detection. | Shivani Agarwal, Dan Roth |
| 2002 | ICPR | Fusion of Global and Local Information for Object Detection. | Ashutosh Garg, Shivani Agarwal, Thomas S. Huang |