Harikrishna Narasimhan
Harikrishna Narasimhan
Google LLC
Verified email at google.com
TitleCited byYear
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, 6169, 2015
1282015
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, 1493-1501, 2014
542014
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
472013
A structural SVM based approach for optimizing partial AUC
H Narasimhan, S Agarwal
International Conference on Machine Learning, 516-524, 2013
462013
Online and stochastic gradient methods for non-decomposable loss functions
P Kar, H Narasimhan, P Jain
Advances in Neural Information Processing Systems, 694-702, 2014
362014
SVM pAUC tight: 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
312013
Optimizing non-decomposable performance measures: A tale of two classes
H Narasimhan, P Kar, P Jain
International Conference on Machine Learning, 199-208, 2015
272015
Learnability of influence in networks
H Narasimhan, DC Parkes, Y Singer
Advances in Neural Information Processing Systems, 3186-3194, 2015
262015
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
252016
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
252015
Surrogate functions for maximizing precision at the top
P Kar, H Narasimhan, P Jain
International Conference on Machine Learning, 189-198, 2015
192015
On the relationship between binary classification, bipartite ranking, and binary class probability estimation
H Narasimhan, S Agarwal
Advances in Neural Information Processing Systems, 2913-2921, 2013
192013
Optimal auctions through deep learning
P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath
arXiv preprint arXiv:1706.03459, 2017
182017
Learning with complex loss functions and constraints
H Narasimhan
International Conference on Artificial Intelligence and Statistics, 1646-1654, 2018
162018
Support vector algorithms for optimizing the partial area under the ROC curve
H Narasimhan, S Agarwal
Neural computation 29 (7), 1919-1963, 2017
122017
Deep Learning for Multi-Facility Location Mechanism Design.
N Golowich, H Narasimhan, DC Parkes
IJCAI, 261-267, 2018
102018
Automated mechanism design without money via machine learning
H Narasimhan, SB Agarwal, DC Parkes
Proceedings of the 25th International Joint Conference on Artificial …, 2016
92016
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
62018
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
52016
Stochastic optimization techniques for quantification performance measures
H Narasimhan, S Li, P Kar, S Chawla, F Sebastiani
stat 1050, 13, 2016
52016
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