According to our database1, Vinay Jethava authored at least 15 papers between 2009 and 2019.
Legend:Book In proceedings Article PhD thesis Other
On weighted uncertainty sampling in active learning.
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference.
Finding Dense Subgraphs in Relational Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Integrative Analysis of Dynamic Networks.
PhD thesis, 2014
Global graph kernels using geometric embeddings.
Proceedings of the 31th International Conference on Machine Learning, 2014
Lovász ϑ function, SVMs and finding dense subgraphs.
J. Mach. Learn. Res., 2013
Lovasz ϑ, SVMs and applications.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Entity disambiguation in anonymized graphs using graph kernels.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Intent-aware temporal query modeling for keyword suggestion.
Proceedings of the 5th Ph.D. Workshop on Information and Knowledge Management, 2012
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data.
BMC Bioinform., 2011
Scalable multi-dimensional user intent identification using tree structured distributions.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011
Randomized Algorithms for Large scale SVMs
Extension of Path Probability Method to Approximate Inference over Time