Govinda M. Kamath

According to our database, Govinda M. Kamath authored at least 16 papers between 2012 and 2021.

Collaborative distances:

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

2021

Bandit-Based Monte Carlo Optimization for Nearest Neighbors.

Vivek Kumar Bagaria, Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse

IEEE J. Sel. Areas Inf. Theory, 2021

Sketching and Sequence Alignment: A Rate-Distortion Perspective.

Ilan Shomorony, Govinda M. Kamath

Proceedings of the IEEE International Symposium on Information Theory, 2021

Knowledge Distillation as Semiparametric Inference.

Tri Dao, Govinda M. Kamath, Vasilis Syrgkanis, Lester Mackey

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Spectral Jaccard Similarity: A New Approach to Estimating Pairwise Sequence Alignments.

Tavor Z. Baharav, Govinda M. Kamath, David N. C. Tse, Ilan Shomorony

Patterns, 2020

Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment.

Govinda M. Kamath, Tavor Z. Baharav, Ilan Shomorony

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Proof-of-Stake Longest Chain Protocols Revisited.

Xuechao Wang, Govinda M. Kamath, Vivek Kumar Bagaria, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath

CoRR, 2019

Towards a Post-clustering Test for Differential Expression.

Jesse M. Zhang, Govinda M. Kamath, David N. C. Tse

Proceedings of the Research in Computational Molecular Biology, 2019

2018

Adaptive Monte-Carlo Optimization.

Vivek Kumar Bagaria, Govinda M. Kamath, David N. C. Tse

CoRR, 2018

Medoids in Almost-Linear Time via Multi-Armed Bandits.

Vivek Kumar Bagaria, Govinda M. Kamath, Vasilis Ntranos, Martin J. Zhang, David Tse

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Partial DNA assembly: A rate-distortion perspective.

Ilan Shomorony, Govinda M. Kamath, Fei Xia, Thomas A. Courtade, David N. C. Tse

Proceedings of the IEEE International Symposium on Information Theory, 2016

Community Recovery in Graphs with Locality.

Yuxin Chen, Govinda M. Kamath, Changho Suh, David Tse

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Optimal haplotype assembly from high-throughput mate-pair reads.

Govinda M. Kamath, Eren Sasoglu, David N. C. Tse

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Codes With Local Regeneration and Erasure Correction.

Govinda M. Kamath, N. Prakash, V. Lalitha, P. Vijay Kumar

IEEE Trans. Inf. Theory, 2014

2013

Explicit MBR all-symbol locality codes.

Govinda M. Kamath, Natalia Silberstein, N. Prakash, Ankit Singh Rawat, V. Lalitha, Onur Ozan Koyluoglu, P. Vijay Kumar, Sriram Vishwanath

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Codes with local regeneration.

Govinda M. Kamath, N. Prakash, V. Lalitha, P. Vijay Kumar

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

Optimal linear codes with a local-error-correction property.

N. Prakash, Govinda M. Kamath, V. Lalitha, P. Vijay Kumar

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012