Probabilistic Hash Embeddings for Online Learning of Categorical Features
Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy
Research
Publications by year
Work across online and adaptive learning, anomaly detection, sequential decision-making, stochastic networks, random graphs, and distributed algorithms.
2026
2025
SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
Saumya Gaurang Shah, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy, Vikramank Singh
Robust Online Inference Using Adaptive Model Switching
Kalpan Mukherjee, Vikramank Singh, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy, Tim Kraska
ODIN: A NL2SQL Recommender to Handle Schema Ambiguity
Kapil Vaidya, Abishek Sankararaman, Jialin Ding, Chuan Lei, Xiao Qin, Balakrishnan Narayanaswamy, Tim Kraska
2024
Online Adaptive Anomaly Thresholding with Confidence Sequences
Sophia Huiwen Sun, Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy
Competing Bandits in Non-Stationary Matching Markets
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2023
Online Robust Non-Stationary Estimation
Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy
Online Heavy-Tailed Change-Point Detection
Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy
Double Auctions with Two-Sided Bandit Feedback
Soumya Basu, Abishek Sankararaman
Model Selection for Generic Contextual Bandits
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2022
FITNESS: Fine Tune on New and Similar Samples to Detect Anomalies in Streams with Drift and Outliers
Abishek Sankararaman, Balakrishnan (Murali) Narayanaswamy, Vikramank Singh, Zhao Song
Breaking the √T Barrier: Instance-Independent Logarithmic Regret for Contextual Bandits
Avishek Ghosh, Abishek Sankararaman
Adaptive Clustering and Personalization in Multi-Agent Stochastic Linear Bandits
Avishek Ghosh, Abishek Sankararaman (joint first authors), Kannan Ramchandran
Multi-Agent Low-Dimensional Linear Bandits
Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai
2021
Beyond log²(T) Regret for Decentralized Bandits in Matching Markets
Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman
Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
Abishek Sankararaman, Soumya Basu (joint first authors), Karthik Abinav Sankararaman
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Ergodicity and Steady-State Analysis for Interference Queueing Networks
Sayan Banerjee, Abishek Sankararaman
2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
Ronshee Chawla, Abishek Sankararaman (joint first authors), Ayalvadi Ganesh, Sanjay Shakkottai
Social Learning in Multi-Agent Multi-Armed Bandits
Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai
Community Detection on Euclidean Random Graphs
Abishek Sankararaman, Emmanuel Abbe, François Baccelli
Stability and Scalability of Blockchain Systems
Aditya Gopalan, Abishek Sankararaman, Anwar Walid, Sriram Vishwanath
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
Abishek Sankararaman, Haris Vikalo, François Baccelli
2019
Interference Queueing Networks on Grids
Abishek Sankararaman, François Baccelli, Sergey Foss
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
Abishek Sankararaman, Haris Vikalo, François Baccelli
2018
Community Detection on Euclidean Random Graphs
Abishek Sankararaman, François Baccelli
2017
Spatial Birth-Death Wireless Networks
Abishek Sankararaman, François Baccelli
2016
Spatial Birth-Death Wireless Networks
Abishek Sankararaman, François Baccelli
Performance-Oriented Association in Large Cellular Networks with Technology Diversity
Abishek Sankararaman, Jeong-woo Cho, François Baccelli
2015
CSMA k-SIC: A Class of Distributed MAC Protocols and Their Performance Evaluation
Abishek Sankararaman, François Baccelli
2013
Congestion Control of Smart Distribution Grids Using State Estimation
Abishek S., Balakrishnan Narayanaswamy