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.
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.
|1.||Bhatia, K., Jain, P., Kar, P.||Robust regression via hard thresholding||Microsoft Research India, IIT Kanpur|
|2.||Bhatia, K., Jain, H., Kar, P., Varma, M., Jain, P.||Sparse local embeddings for extreme multi-label classification||Microsoft 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 constraints||IIT-D, Univ Of Texas Dallas|
|4.||Sarkhel, S., Singla, P., Gogate, V.||Fast lifted MAP inference via partitioning||IIT-D, Univ Of Texas Dallas|
|5.||Shivanna, R., Chatterjee, B., Sankaran, R., Bhattacharyya, C., Bach, F.||Spectral norm regularization of orthonormal representations for graph transduction||IISc Bangalore, Google USA, INRIA, Paris France|
|6.||Jain, P., Tewari, A.||Alternating minimization for regression problems with vector-valued outputs||Microsoft Research India, Univ Of Michigan|
|7.||Kopp, T., Singla, P., Kautz, H.||Lifted symmetry detection and breaking for MAP inference||IIT-D, Univ of Rochester USA|
|8.||Raiy, P., Hu, C., Henao, R., Carin, L.||Large-scale Bayesian multi-label learning via topic-based label embeddings||IIT 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 summarization||IISc Bangalore, Chalmers Univ, Sweden, University of Rochester, NY|
|10.||Jain, P., Natarajan, N., Tewari, A.||Predtron: A family of online algorithms for general prediction problems||Microsoft Research India, Univ Of Michigan, Univ of Texas, Austin|