Harikrishna Narasimhan
Harikrishna Narasimhan
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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), 1-14, 2015
Optimal auctions through deep learning
P Dütting, Z Feng, H Narasimhan, D Parkes, SS Ravindranath
International Conference on Machine Learning, 1706-1715, 2019
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
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures.
H Narasimhan, R Vaish, S Agarwal
NIPS 27, 1493-1501, 2014
A structural SVM based approach for optimizing partial AUC
H Narasimhan, S Agarwal
International Conference on Machine Learning, 516-524, 2013
Online and stochastic gradient methods for non-decomposable loss functions
P Kar, H Narasimhan, P Jain
arXiv preprint arXiv:1410.6776, 2014
Learning with complex loss functions and constraints
H Narasimhan
International Conference on Artificial Intelligence and Statistics, 1646-1654, 2018
Learnability of influence in networks
H Narasimhan, DC Parkes, Y Singer
Proceedings of the 29th Annual Conference on Neural Information Processing …, 2015
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
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
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
Deep Learning for Multi-Facility Location Mechanism Design.
N Golowich, H Narasimhan, DC Parkes
IJCAI, 261-267, 2018
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
Optimizing non-decomposable performance measures: A tale of two classes
H Narasimhan, P Kar, P Jain
International Conference on Machine Learning, 199-208, 2015
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation.
H Narasimhan, S Agarwal
NIPS, 2913-2921, 2013
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
Surrogate functions for maximizing precision at the top
P Kar, H Narasimhan, P Jain
International Conference on Machine Learning, 189-198, 2015
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
Automated mechanism design without money via machine learning
H Narasimhan, SB Agarwal, DC Parkes
Proceedings of the 25th International Joint Conference on Artificial …, 2016
Support vector algorithms for optimizing the partial area under the ROC curve
H Narasimhan, S Agarwal
Neural computation 29 (7), 1919-1963, 2017
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