Learning a Sparse Representation for Object Detection. - Shivani Agarwal 001; Dan Roth 001 (ECCV (4), 2002)

Fusion of Global and Local Information for Object Detection. - Ashutosh Garg; Shivani Agarwal 001; Thomas S. Huang (ICPR (3), 2002)

A Large Deviation Bound for the Area Under the ROC Curve. - Shivani Agarwal 001; Thore Graepel; Ralf Herbrich; Dan Roth 001 (NIPS, 2004)

Learning to Detect Objects in Images via a Sparse, Part-Based Representation. - Shivani Agarwal 001; Aatif Awan; Dan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A Uniform Convergence Bound for the Area Under the ROC Curve. - Shivani Agarwal 001; Sariel Har-Peled; Dan Roth 001 (AISTATS, 2005)

Stability and Generalization of Bipartite Ranking Algorithms. - Shivani Agarwal 001; Partha Niyogi (COLT, 2005)

Learnability of Bipartite Ranking Functions. - Shivani Agarwal 001; Dan Roth 001 (COLT, 2005)

Generalization Bounds for the Area Under the ROC Curve. - Shivani Agarwal 001; Thore Graepel; Ralf Herbrich; Sariel Har-Peled; Dan Roth 001 (J. Mach. Learn. Res., 2005)

A Study of the Bipartite Ranking Problem in Machine Learning - Shivani Agarwal 001 (2005)

Ranking on graph data. - Shivani Agarwal 001 (ICML, 2006)

Generalization Bounds for Some Ordinal Regression Algorithms. - Shivani Agarwal 001 (ALT, 2008)

Generalization Bounds for Ranking Algorithms via Algorithmic Stability. - Shivani Agarwal 001; Partha Niyogi (J. Mach. Learn. Res., 2009)

Maximum Margin Ranking Algorithms for Information Retrieval. - Shivani Agarwal 001; Michael Collins 001 (ECIR, 2010)

Ranking Chemical Structures for Drug Discovery: A New Machine Learning Approach. - Shivani Agarwal 001; Deepak Dugar; Shiladitya Sengupta (J. Chem. Inf. Model., 2010)

Learning to rank on graphs. - Shivani Agarwal 001 (Mach. Learn., 2010)

The Infinite Push: A New Support Vector Ranking Algorithm that Directly Optimizes Accuracy at the Absolute Top of the List. - Shivani Agarwal 001 (SDM, 2011)

Classification Calibration Dimension for General Multiclass Losses. - Harish G. Ramaswamy; Shivani Agarwal 001 (NIPS, 2012)

A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification. - Arun Rajkumar; Shivani Agarwal 001 (AISTATS, 2012)

Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. - Shivani Agarwal 001 (COLT, 2013)

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance. - Aditya Krishna Menon; Harikrishna Narasimhan; Shivani Agarwal 001; Sanjay Chawla (ICML (3), 2013)

A Structural SVM Based Approach for Optimizing Partial AUC. - Harikrishna Narasimhan; Shivani Agarwal 001 (ICML (1), 2013)

SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound. - Harikrishna Narasimhan; Shivani Agarwal 001 (KDD, 2013)

On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation. - Harikrishna Narasimhan; Shivani Agarwal 001 (NIPS, 2013)

Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. - Harish G. Ramaswamy; Shivani Agarwal 001; Ambuj Tewari (NIPS, 2013)

On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems. - Harish G. Ramaswamy; Balaji Srinivasan Babu; Shivani Agarwal 001; Robert C. Williamson (COLT, 2014)

GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare. - Arpit Agarwal; Harikrishna Narasimhan; Shivaram Kalyanakrishnan; Shivani Agarwal 001 (ICML, 2014)

A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data. - Arun Rajkumar; Shivani Agarwal 001 (ICML, 2014)

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 001 (ICMLA, 2014)

On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures. - Harikrishna Narasimhan; Rohit Vaish; Shivani Agarwal 001 (NIPS, 2014)

Online Decision-Making in General Combinatorial Spaces. - Arun Rajkumar; Shivani Agarwal 001 (NIPS, 2014)

Surrogate regret bounds for bipartite ranking via strongly proper losses. - Shivani Agarwal 001 (J. Mach. Learn. Res., 2014)

On Consistent Surrogate Risk Minimization and Property Elicitation. - Arpit Agarwal; Shivani Agarwal 001 (COLT, 2015)

Consistent Multiclass Algorithms for Complex Performance Measures. - Harikrishna Narasimhan; Harish G. Ramaswamy; Aadirupa Saha; Shivani Agarwal 001 (ICML, 2015)

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. - Arun Rajkumar; Suprovat Ghoshal; Lek-Heng Lim; Shivani Agarwal 001 (ICML, 2015)

Convex Calibrated Surrogates for Hierarchical Classification. - Harish G. Ramaswamy; Ambuj Tewari; Shivani Agarwal 001 (ICML, 2015)

Bayes Optimal Feature Selection for Supervised Learning with General Performance Measures. - C. G. Saneem Ahmed; Harikrishna Narasimhan; Shivani Agarwal 001 (UAI, 2015)

Consistent Classification Algorithms for Multi-class Non-Decomposable Performance Metrics. - Harish G. Ramaswamy; Harikrishna Narasimhan; Shivani Agarwal 001 (CoRR, 2015)

Consistent Algorithms for Multiclass Classification with a Reject Option. - Harish G. Ramaswamy; Ambuj Tewari; Shivani Agarwal 001 (CoRR, 2015)

On the Computational Hardness of Manipulating Pairwise Voting Rules. - Rohit Vaish; Neeldhara Misra; Shivani Agarwal 001; Avrim Blum (AAMAS, 2016)

When can we rank well from comparisons of (O(n log(n)) ) non-actively chosen pairs? - Arun Rajkumar; Shivani Agarwal 001 (COLT, 2016)

On Ranking and Choice Models. - Shivani Agarwal 001 (IJCAI, 2016)

Automated Mechanism Design without Money via Machine Learning. - Harikrishna Narasimhan; Shivani Agarwal 001; David C. Parkes (IJCAI, 2016)

Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions. - Siddartha Y. Ramamohan; Arun Rajkumar; Shivani Agarwal 001 (NIPS, 2016)

Convex Calibration Dimension for Multiclass Loss Matrices. - Harish G. Ramaswamy; Shivani Agarwal 001 (J. Mach. Learn. Res., 2016)

Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. - Qizhen Zhang 001; Tengyuan Ye; Meryem Essaidi; Shivani Agarwal 001; Vincent Liu 001; Boon Thau Loo (CIKM, 2017)

Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons. - Arpit Agarwal; Shivani Agarwal 001; Sepehr Assadi; Sanjeev Khanna (COLT, 2017)

Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve. - Harikrishna Narasimhan; Shivani Agarwal 001 (Neural Comput., 2017)

Accelerated Spectral Ranking. - Arpit Agarwal; Prathamesh Patil; Shivani Agarwal 001 (ICML, 2018)

Conference on Learning Theory 2020: Preface. - Jacob D. Abernethy; Shivani Agarwal 001 (COLT, 2020)

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. - Arpit Agarwal; Shivani Agarwal 001; Sanjeev Khanna; Prathamesh Patil (ICML, 2020)

Convex Calibrated Surrogates for the Multi-Label F-Measure. - Mingyuan Zhang; Harish Guruprasad Ramaswamy; Shivani Agarwal 001 (ICML, 2020)

Choice Bandits. - Arpit Agarwal; Nicholas Johnson; Shivani Agarwal 001 (NeurIPS, 2020)

Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class. - Mingyuan Zhang; Shivani Agarwal 001 (NeurIPS, 2020)

Stochastic Dueling Bandits with Adversarial Corruption. - Arpit Agarwal; Shivani Agarwal 001; Prathamesh Patil (ALT, 2021)

Learning from Noisy Labels with No Change to the Training Process. - Mingyuan Zhang; Jane H. Lee; Shivani Agarwal 001 (ICML, 2021)

Consistent Multiclass Algorithms for Complex Metrics and Constraints. - Harikrishna Narasimhan; Harish G. Ramaswamy; Shiv Kumar Tavker; Drona Khurana; Praneeth Netrapalli; Shivani Agarwal 001 (CoRR, 2022)

Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures. - Mingyuan Zhang; Shivani Agarwal 001 (AISTATS, 2024)