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Ramaswamy, Harish G and Agarwal, Shivani (2012) Classification calibration dimension for general multiclass losses. In: 2012 In Advances in Neural Information Processing Systems (NIPS), December 05, 2012, Harveys Convention Center Floor, CC.
Rajkumar, Arun and Agarwal, Shivani (2012) Differentially private stochastic gradient descent algorithm for multiparty classification. In: Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), Apr 21, 2012, La Palma, Canary Islands.
Agarwal, Shivani (2011) Infinite push: a new support vector ranking algorithm that directly optimizes accuracy at the absolute top of the list. In: SDM 2011, Proceedings of the Eleventh SIAM International Conference on Data Mining, April 28-30, 2011, Mesa, Arizona.
Ramaswamy, Harish G and Agarwal, Shivani (2016) Convex Calibration Dimension for Multiclass Loss Matrices. In: JOURNAL OF MACHINE LEARNING RESEARCH, 17 .
Majumder, Biswanath and Baraneedharan, Ulaganathan and Thiyagarajan, Saravanan and Radhakrishnan, Padhma and Narasimhan, Harikrishna and Dhandapani, Muthu and Brijwani, Nilesh and Pinto, Dency D and Prasath, Arun and Shanthappa, Basavaraja U and Thayakumar, Allen and Surendran, Rajagopalan and Babu, Govind K and Shenoy, Ashok M and Kuriakose, Moni A and Bergthold, Guillaume and Horowitz, Peleg and Loda, Massimo and Beroukhim, Rameen and Agarwal, Shivani and Sengupta, Shiladitya and Sundaram, Mallikarjun and Majumder, Pradip K (2015) Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity. In: NATURE COMMUNICATIONS, 6 .
Agarwal, Shivani (2014) Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses. In: JOURNAL OF MACHINE LEARNING RESEARCH, 15 . pp. 1653-1674.
