Abishek Sankararaman

IEEE Trans. Inf. Theory, January, 2024

2023

Multiagent Low-Dimensional Linear Bandits.

[BibT_eX]

[DOI]

Ronshee Chawla

Sanjay Shakkottai

IEEE Trans. Autom. Control., May, 2023

Online Heavy-tailed Change-point detection.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Online robust non-stationary estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Double Auctions with Two-sided Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning.

[BibT_eX]

[DOI]

Kaustubh Sridhar

Vikramank Y. Singh

CoRR, 2022

Decentralized Competing Bandits in Non-Stationary Matching Markets.

[BibT_eX]

[DOI]

CoRR, 2022

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-agent Heterogeneous Stochastic Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers.

[BibT_eX]

[DOI]

Vikramank Y. Singh

Zhao Song

Proceedings of the International Conference on Machine Learning, 2022

Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits.

[BibT_eX]

[DOI]

CoRR, 2021

Beyond log<sup>2</sup>(T) regret for decentralized bandits in matching markets.

[BibT_eX]

[DOI]

Karthik Abinav Sankararaman

Proceedings of the 38th International Conference on Machine Learning, 2021

Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship.

[BibT_eX]

[DOI]

Karthik Abinav Sankararaman

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Stability and Scalability of Blockchain Systems.

[BibT_eX]

[DOI]

Proc. ACM Meas. Anal. Comput. Syst., 2020

Multi-Agent Low-Dimensional Linear Bandits.

[BibT_eX]

[DOI]

Ronshee Chawla

Sanjay Shakkottai

CoRR, 2020

Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation.

[BibT_eX]

[DOI]

Karthik Abinav Sankararaman

CoRR, 2020

The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Social Learning in Multi Agent Multi Armed Bandits.

[BibT_eX]

[DOI]

Ayalvadi Ganesh

Sanjay Shakkottai

Proc. ACM Meas. Anal. Comput. Syst., 2019

ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly.

[BibT_eX]

[DOI]

Haris Vikalo

CoRR, 2019

2018

Community Detection on Euclidean Random Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2017

Spatial Birth-Death Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Interference Queuing Networks on Grids.

[BibT_eX]

[DOI]

Sergey Foss

CoRR, 2017

2016

Performance-Oriented Association in Large Cellular Networks with Technology Diversity.

[BibT_eX]

[DOI]

Jeong-woo Cho

Proceedings of the 28th International Teletraffic Congress, 2016

2015

CSMA k-SIC - A class of distributed MAC protocols and their performance evaluation.

[BibT_eX]

[DOI]