CSMA k-SIC - A class of distributed MAC protocols and their performance evaluation. - Abishek Sankararaman; François Baccelli (INFOCOM, 2015)

Spatial birth-death wireless networks. - Abishek Sankararaman; François Baccelli (Allerton, 2016)

Performance-Oriented Association in Large Cellular Networks with Technology Diversity. - Abishek Sankararaman; Jeong-woo Cho; François Baccelli (ITC, 2016)

Community detection on euclidean random graphs. - Abishek Sankararaman; François Baccelli (Allerton, 2017)

Interference Queuing Networks on Grids. - Abishek Sankararaman; François Baccelli; Sergey Foss (CoRR, 2017)

ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly. - Abishek Sankararaman; Haris Vikalo; François Baccelli (CoRR, 2019)

The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. - Ronshee Chawla; Abishek Sankararaman; Ayalvadi Ganesh 001; Sanjay Shakkottai (AISTATS, 2020)

Stability and Scalability of Blockchain Systems. - Aditya Gopalan; Abishek Sankararaman; Anwar Walid; Sriram Vishwanath (SIGMETRICS (Abstracts), 2020)

Social Learning in Multi Agent Multi Armed Bandits. - Abishek Sankararaman; Ayalvadi Ganesh 001; Sanjay Shakkottai (SIGMETRICS (Abstracts), 2020)

Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation. - Abishek Sankararaman; Soumya Basu 001; Karthik Abinav Sankararaman (CoRR, 2020)

Multi-Agent Low-Dimensional Linear Bandits. - Ronshee Chawla; Abishek Sankararaman; Sanjay Shakkottai (CoRR, 2020)

Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (AISTATS, 2021)

Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship. - Abishek Sankararaman; Soumya Basu 001; Karthik Abinav Sankararaman (AISTATS, 2021)

Beyond log2(T) regret for decentralized bandits in matching markets. - Soumya Basu 001; Karthik Abinav Sankararaman; Abishek Sankararaman (ICML, 2021)

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (CoRR, 2021)

Breaking the $ sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. - Avishek Ghosh; Abishek Sankararaman (ICML, 2022)

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. - Abishek Sankararaman; Balakrishnan Narayanaswamy; Vikramank Y. Singh; Zhao Song 001 (ICML, 2022)

Multi-agent Heterogeneous Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (ECML/PKDD (4), 2022)

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. - Avishek Ghosh; Abishek Sankararaman (CoRR, 2022)

Decentralized Competing Bandits in Non-Stationary Matching Markets. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran; Tara Javidi; Arya Mazumdar (CoRR, 2022)

Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. - Kaustubh Sridhar; Vikramank Y. Singh; Balakrishnan Narayanaswamy; Abishek Sankararaman (CoRR, 2022)

Double Auctions with Two-sided Bandit Feedback. - Soumya Basu 001; Abishek Sankararaman (NeurIPS, 2023)

Online robust non-stationary estimation. - Abishek Sankararaman; Balakrishnan Narayanaswamy (NeurIPS, 2023)

Online Heavy-tailed Change-point detection. - Abishek Sankararaman; Balakrishnan Narayanaswamy (UAI, 2023)

Multiagent Low-Dimensional Linear Bandits. - Ronshee Chawla; Abishek Sankararaman; Sanjay Shakkottai (IEEE Trans. Autom. Control., 2023)

Online Adaptive Anomaly Thresholding with Confidence Sequences. - Sophia Huiwen Sun; Abishek Sankararaman; Balakrishnan Narayanaswamy (ICML, 2024)

Competing Bandits in Decentralized Large Contextual Matching Markets. - Satush Parikh; Soumya Basu 001; Avishek Ghosh; Abishek Sankararaman (CoRR, 2024)

Model Selection for Generic Contextual Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2024)

Competing Bandits in Non-Stationary Matching Markets. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran; Tara Javidi; Arya Mazumdar (IEEE Trans. Inf. Theory, 2024)

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity. - Kapil Vaidya; Abishek Sankararaman; Jialin Ding 001; Chuan Lei; Xiao Qin; Balakrishnan Narayanaswamy; Tim Kraska (CoRR, 2025)