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All publications by Harikrishna Narasimhan
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**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

**Optimizing Non-decomposable Performance Measures: A Tale of Two Classes**

*Harikrishna Narasimhan*, *Purushottam Kar* and *Prateek Jain*

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

**Surrogate Functions for Maximizing Precision at the Top**

*Purushottam Kar*, *Harikrishna Narasimhan* and *Prateek Jain*

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

**Learnability of Influence in Networks**

*Harikrishna Narasimhan*, *David C. Parkes* and *Yaron Singer*

Advances in Neural Information Processing Systems 28, 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

**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 and Stochastic Gradient Methods for Non-decomposable Loss Functions**

*Purushottam Kar*, *Harikrishna Narasimhan* and *Prateek Jain*

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

**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