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The Conference and Workshop on Neural Information Processing Systems (NIPS) is a machine learning and computational neuroscience conference held every December. The conference is a single track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts. According to Microsoft Academic Search, NIPS is the top conference on machine learning.

Comparison of top contributors at NIPS 2015 by number of paper accepts

US tops the chart and has been the top research contributor with the highest number of accepts. UK stands second with an marginal increase in paper accepts from 2014, whereas India and China both dropped, with lesser number of accepts in 2015.

Table 1: Statistics of accepted papers from corporations and institutions for 2014 and 2015
Corporations
Publications in 2015
Publications in 2014
Microsoft Research, India
4
6
Institutions
Publications in 2015
Publications in 2014
IIT Delhi
4
2
IISc Bangalore
2
7
IIT Kanpur
3
0
Table 2: Contributions from corporates and institutions in 2014 and 2015
Year
Corporations
Institutions
Publications in 2015
4
9
Publications in 2014
7
11
Table 3: Indian contributions at NIPS 2015
S.No
Author
Title
Affiliation
1.Bhatia, K., Jain, P., Kar, P.Robust regression via hard thresholdingMicrosoft Research India, IIT Kanpur
2.Bhatia, K., Jain, H., Kar, P., Varma, M., Jain, P.Sparse local embeddings for extreme multi-label classificationMicrosoft Research, India, Indian Institute of Technology Delhi, Indian Institute of Technology Kanpur
3.Mittal, H., Mahajan, A., Gogate, V., Singla, P.Lifted inference rules with constraintsIIT-D, Univ Of Texas Dallas
4.Sarkhel, S., Singla, P., Gogate, V.Fast lifted MAP inference via partitioningIIT-D, Univ Of Texas Dallas
5.Shivanna, R., Chatterjee, B., Sankaran, R., Bhattacharyya, C., Bach, F.Spectral norm regularization of orthonormal representations for graph transductionIISc Bangalore, Google USA, INRIA, Paris France
6.Jain, P., Tewari, A.Alternating minimization for regression problems with vector-valued outputsMicrosoft Research India, Univ Of Michigan
7.Kopp, T., Singla, P., Kautz, H.Lifted symmetry detection and breaking for MAP inferenceIIT-D, Univ of Rochester USA
8.Raiy, P., Hu, C., Henao, R., Carin, L.Large-scale Bayesian multi-label learning via topic-based label embeddingsIIT Kanpur, Duke University
9.Johansson, F.D., Chattoraj, A., Bhattacharyya, C., Dubhashi, D.Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarizationIISc Bangalore, Chalmers Univ, Sweden, University of Rochester, NY
10.Jain, P., Natarajan, N., Tewari, A.Predtron: A family of online algorithms for general prediction problemsMicrosoft Research India, Univ Of Michigan, Univ of Texas, Austin