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All publications by Shivani Agarwal
authors venues years

**Convex Calibrated Surrogates for Hierarchical Classification**

*Harish Ramaswamy*, *Ambuj Tewari* and *Shivani Agarwal*

Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015

**Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top**

*Arun Rajkumar*, *Suprovat Ghoshal*, *Lek-heng Lim* and *Shivani Agarwal*

Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015

**Consistent Multiclass Algorithms for Complex Performance Measures**

*Harikrishna Narasimhan*, *Harish Ramaswamy*, *Aadirupa Saha* and *Shivani Agarwal*

Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015

**GEV-Canonical Regression for Accurate Binary Class Probability Estimation when Onagarwalc14.pdfe
Class is Rare**

*Arpit Agarwal*, *Harikrishna Narasimhan*, *Shivaram Kalyanakrishnan* and *Shivani Agarwal*

Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014

**A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data**

*Arun Rajkumar* and *Shivani Agarwal*

Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014

**On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures**

*Harikrishna Narasimhan*, *Rohit Vaish* and *Shivani Agarwal*

Advances in Neural Information Processing Systems 27, 2014

**Online Decision-Making in General Combinatorial Spaces**

*Arun Rajkumar* and *Shivani Agarwal*

Advances in Neural Information Processing Systems 27, 2014

**On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance**

*Aditya Menon*, *Harikrishna Narasimhan*, *Shivani Agarwal* and *Sanjay Chawla*

Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013

**On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation**

*Harikrishna Narasimhan* and *Shivani Agarwal*

Advances in Neural Information Processing Systems 26, 2013

**Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses**

*Harish G. Ramaswamy*, *Shivani Agarwal* and *Ambuj Tewari*

Advances in Neural Information Processing Systems 26, 2013

**A Structural SVM Based Approach for Optimizing Partial AUC**

*Harikrishna Narasimhan* and *Shivani Agarwal*

Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013

**Classification Calibration Dimension for General Multiclass Losses**

*Harish G. Ramaswamy* and *Shivani Agarwal*

Advances in Neural Information Processing Systems 25, 2012

**A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification**

*Arun Rajkumar* and *Shivani Agarwal*

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012

**Generalization Bounds for Ranking Algorithms via Algorithmic Stability**

*Shivani Agarwal* and *Partha Niyogi*

Journal of Machine Learning Research, 2009

**Ranking on graph data**

*Shivani Agarwal*

Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006

**Generalization Bounds for the Area Under the ROC Curve**

*Shivani Agarwal*, *Thore Graepel*, *Ralf Herbrich*, *Sariel Har-peled* and *Dan Roth*

Journal of Machine Learning Research, 2005

**A Large Deviation Bound for the Area Under the ROC Curve**

*Shivani Agarwal*, *Thore Graepel*, *Ralf Herbrich* and *Dan Roth*

Advances in Neural Information Processing Systems 17, 2004