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Harikrishna Narasimhan
Harikrishna Narasimhan
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Cited by
Cited by
Year
Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity
B Majumder, U Baraneedharan, S Thiyagarajan, P Radhakrishnan, ...
Nature communications 6 (1), 6169, 2015
3052015
Optimal auctions through deep learning
P Dütting, Z Feng, H Narasimhan, D Parkes, SS Ravindranath
International Conference on Machine Learning, 1706-1715, 2019
2422019
On the statistical consistency of algorithms for binary classification under class imbalance
A Menon, H Narasimhan, S Agarwal, S Chawla
International Conference on Machine Learning, 603-611, 2013
1182013
Robust optimization for fairness with noisy protected groups
S Wang, W Guo, H Narasimhan, A Cotter, M Gupta, M Jordan
Advances in neural information processing systems 33, 5190-5203, 2020
1112020
Pairwise fairness for ranking and regression
H Narasimhan, A Cotter, M Gupta, S Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5248-5255, 2020
1062020
Learning with complex loss functions and constraints
H Narasimhan
International Conference on Artificial Intelligence and Statistics, 1646-1654, 2018
1002018
On the statistical consistency of plug-in classifiers for non-decomposable performance measures
H Narasimhan, R Vaish, S Agarwal
Advances in neural information processing systems 27, 2014
922014
A structural SVM based approach for optimizing partial AUC
H Narasimhan, S Agarwal
International Conference on Machine Learning, 516-524, 2013
872013
Deep learning for revenue-optimal auctions with budgets
Z Feng, H Narasimhan, DC Parkes
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
842018
Online and stochastic gradient methods for non-decomposable loss functions
P Kar, H Narasimhan, P Jain
Advances in Neural Information Processing Systems 27, 2014
772014
Deep Learning for Multi-Facility Location Mechanism Design.
N Golowich, H Narasimhan, DC Parkes
IJCAI, 261-267, 2018
752018
Learnability of influence in networks
H Narasimhan, DC Parkes, Y Singer
Advances in Neural Information Processing Systems 28, 2015
742015
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
642015
Online optimization methods for the quantification problem
P Kar, S Li, H Narasimhan, S Chawla, F Sebastiani
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
602016
SVMpAUCtight a new support vector method for optimizing partial AUC based on a tight convex upper bound
H Narasimhan, S Agarwal
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
592013
Optimizing non-decomposable performance measures: A tale of two classes
H Narasimhan, P Kar, P Jain
International Conference on Machine Learning, 199-208, 2015
562015
Optimizing the multiclass F-measure via biconcave programming
H Narasimhan, W Pan, P Kar, P Protopapas, HG Ramaswamy
2016 IEEE 16th international conference on data mining (ICDM), 1101-1106, 2016
492016
Surrogate functions for maximizing precision at the top
P Kar, H Narasimhan, P Jain
International conference on machine learning, 189-198, 2015
472015
On the relationship between binary classification, bipartite ranking, and binary class probability estimation
H Narasimhan, S Agarwal
Advances in neural information processing systems 26, 2013
422013
Support vector algorithms for optimizing the partial area under the ROC curve
H Narasimhan, S Agarwal
Neural computation 29 (7), 1919-1963, 2017
412017
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