受强制性开放获取政策约束的文章 - Harikrishna Narasimhan了解详情
可在其他位置公开访问的文章：14 篇
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
强制性开放获取政策： US National Institutes of Health
Optimal auctions through deep learning
P Dütting, Z Feng, H Narasimhan, D Parkes, SS Ravindranath
International Conference on Machine Learning, 1706-1715, 2019
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： US National Science Foundation
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
强制性开放获取政策： Department of Science & Technology, India
A structural SVM based approach for optimizing partial AUC
H Narasimhan, S Agarwal
International Conference on Machine Learning, 516-524, 2013
强制性开放获取政策： Department of Science & Technology, India
Learnability of influence in networks
H Narasimhan, DC Parkes, Y Singer
Advances in Neural Information Processing Systems 28, 2015
强制性开放获取政策： Department of Science & Technology, India
Consistent multiclass algorithms for complex performance measures
H Narasimhan, H Ramaswamy, A Saha, S Agarwal
International Conference on Machine Learning, 2398-2407, 2015
强制性开放获取政策： Department of Science & Technology, India
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
强制性开放获取政策： Department of Science & Technology, India
Automated mechanism design without money via machine learning
H Narasimhan, SB Agarwal, DC Parkes
Proceedings of the 25th International Joint Conference on Artificial …, 2016
强制性开放获取政策： Department of Science & Technology, India
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
强制性开放获取政策： Department of Science & Technology, India
Support vector algorithms for optimizing the partial area under the ROC curve
H Narasimhan, S Agarwal
Neural computation 29 (7), 1919-1963, 2017
强制性开放获取政策： Department of Science & Technology, India
Gev-canonical regression for accurate binary class probability estimation when one class is rare
A Agarwal, H Narasimhan, S Kalyanakrishnan, S Agarwal
International Conference on Machine Learning, 1989-1997, 2014
强制性开放获取政策： Department of Science & Technology, India
Machine learning for optimal economic design
P Dütting, Z Feng, N Golowich, H Narasimhan, DC Parkes, ...
The Future of Economic Design: The Continuing Development of a Field as …, 2019
强制性开放获取政策： US National Science Foundation
Learning score systems for patient mortality prediction in intensive care units via orthogonal matching pursuit
A Saha, C Dewangan, H Narasimhan, S Sampath, S Agarwal
2014 13th International Conference on Machine Learning and Applications, 93-98, 2014
强制性开放获取政策： Department of Science & Technology, India
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