Abishek Sankararaman

48 papers A* 10A 5Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. AAAI Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2025	J	`jnl`	ODIN: A NL2SQL Recommender to Handle Schema Ambiguity. CoRR Kapil Vaidya, Abishek Sankararaman, Jialin Ding, Chuan Lei, Xiao Qin, Balakrishnan Narayanaswamy, Tim Kraska
2025	J	`jnl`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. CoRR Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2025	A*	`conf`	SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors. ICML Saumya Gaurang Shah, Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh
2024	J	`jnl`	Competing Bandits in Decentralized Large Contextual Matching Markets. CoRR Satush Parikh, Soumya Basu, Avishek Ghosh, Abishek Sankararaman
2024	J	`jnl`	Competing Bandits in Non-Stationary Matching Markets. IEEE Trans. Inf. Theory Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2024	J	`jnl`	Model Selection for Generic Contextual Bandits. IEEE Trans. Inf. Theory Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2024	A*	`conf`	Online Adaptive Anomaly Thresholding with Confidence Sequences. ICML Sophia Huiwen Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy
2023	A*	`conf`	Double Auctions with Two-sided Bandit Feedback. NeurIPS Soumya Basu, Abishek Sankararaman
2023	J	`jnl`	Multiagent Low-Dimensional Linear Bandits. IEEE Trans. Autom. Control. Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
2023	A	`conf`	Online Heavy-tailed Change-point detection. UAI Abishek Sankararaman, Balakrishnan Narayanaswamy
2023	J	`jnl`	Online Heavy-tailed Change-point detection. CoRR Abishek Sankararaman, Balakrishnan Narayanaswamy
2023	A*	`conf`	Online robust non-stationary estimation. NeurIPS Abishek Sankararaman, Balakrishnan Narayanaswamy
2022	A*	`conf`	Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. ICML Avishek Ghosh, Abishek Sankararaman
2022	J	`jnl`	Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman
2022	J	`jnl`	Decentralized Competing Bandits in Non-Stationary Matching Markets. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2022	J	`jnl`	Double Auctions with Two-sided Bandit Feedback. CoRR Soumya Basu, Abishek Sankararaman
2022	A*	`conf`	FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers. ICML Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y. Singh, Zhao Song
2022	—	`conf`	Multi-agent Heterogeneous Stochastic Linear Bandits. ECML/PKDD (4) Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2022	J	`jnl`	Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. CoRR Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman
2021	A*	`conf`	Beyond log ICML Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman
2021	J	`jnl`	Beyond log CoRR Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman
2021	J	`jnl`	Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2021	A	`conf`	Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship. AISTATS Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman
2021	J	`jnl`	Model Selection for Generic Contextual Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2021	A	`conf`	Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. AISTATS Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2020	J	`jnl`	Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation. CoRR Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman
2020	J	`jnl`	Multi-Agent Low-Dimensional Linear Bandits. CoRR Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
2020	J	`jnl`	Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2020	—	`conf`	Social Learning in Multi Agent Multi Armed Bandits. SIGMETRICS (Abstracts) Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2020	—	`conf`	Stability and Scalability of Blockchain Systems. SIGMETRICS (Abstracts) Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	J	`jnl`	Stability and Scalability of Blockchain Systems. CoRR Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	J	`jnl`	Stability and Scalability of Blockchain Systems. Proc. ACM Meas. Anal. Comput. Syst. Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
2020	A	`conf`	The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. AISTATS Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2020	J	`jnl`	The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. CoRR Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2019	J	`jnl`	ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly. CoRR Abishek Sankararaman, Haris Vikalo, François Baccelli
2019	J	`jnl`	Social Learning in Multi Agent Multi Armed Bandits. CoRR Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2019	J	`jnl`	Social Learning in Multi Agent Multi Armed Bandits. Proc. ACM Meas. Anal. Comput. Syst. Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
2018	A*	`conf`	Community Detection on Euclidean Random Graphs. SODA Abishek Sankararaman, François Baccelli
2017	J	`jnl`	Community Detection on Euclidean Random Graphs. CoRR Abishek Sankararaman, François Baccelli
2017	—	`conf`	Community detection on euclidean random graphs. Allerton Abishek Sankararaman, François Baccelli
2017	J	`jnl`	Interference Queuing Networks on Grids. CoRR Abishek Sankararaman, François Baccelli, Sergey Foss
2017	J	`jnl`	Spatial Birth-Death Wireless Networks. IEEE Trans. Inf. Theory Abishek Sankararaman, François Baccelli
2016	A	`conf`	Performance-Oriented Association in Large Cellular Networks with Technology Diversity. ITC Abishek Sankararaman, Jeong-woo Cho, François Baccelli
2016	J	`jnl`	Performance-Oriented Association in Large Cellular Networks with Technology Diversity. CoRR Abishek Sankararaman, Jeong-woo Cho, François Baccelli
2016	J	`jnl`	Spatial Birth-Death Wireless Networks. CoRR Abishek Sankararaman, François Baccelli
2016	—	`conf`	Spatial birth-death wireless networks. Allerton Abishek Sankararaman, François Baccelli
2015	A*	`conf`	CSMA k-SIC - A class of distributed MAC protocols and their performance evaluation. INFOCOM Abishek Sankararaman, François Baccelli