Vinay Jethava

According to our database, Vinay Jethava authored at least 16 papers between 2009 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Accelerating container-based deep learning hyperparameter optimization workloads.

Rui Liu, David Wong, Dave Lange, Patrik Larsson, Vinay Jethava, Qing Zheng

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

2019

On weighted uncertainty sampling in active learning.

Vinay Jethava

CoRR, 2019

2017

GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference.

Vinay Jethava, Devdatt P. Dubhashi

CoRR, 2017

2015

Finding Dense Subgraphs in Relational Graphs.

Vinay Jethava, Niko Beerenwinkel

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Integrative Analysis of Dynamic Networks.

Vinay Jethava

PhD thesis, 2014

Global graph kernels using geometric embeddings.

Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Lovász ϑ function, SVMs and finding dense subgraphs.

Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi

J. Mach. Learn. Res., 2013

Lovasz ϑ, SVMs and applications.

Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks.

Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Entity disambiguation in anonymized graphs using graph kernels.

Linus Hermansson, Tommi Kerola, Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs".

Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi

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.

Fredrik Johansson, Tobias Färdig, Vinay Jethava, Svetoslav Marinov

Proceedings of the 5th Ph.D. Workshop on Information and Knowledge Management, 2012

2011

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data.

Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri

BMC Bioinform., 2011

Scalable multi-dimensional user intent identification using tree structured distributions.

Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, Chiranjib Bhattacharyya, Devdatt P. Dubhashi

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2009

Randomized Algorithms for Large scale SVMs

Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, Ramesh Hariharan

CoRR, 2009

Extension of Path Probability Method to Approximate Inference over Time

Vinay Jethava

CoRR, 2009