Abishek Sankararaman
12 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Mathematics & Optimization
(8)
Optimization
(8)
Optimization & Theory
(8)
Artificial Intelligence
(4)
Data Science & Analytics
(3)
Core AI
(3)
Learning Types
(3)
Application Areas
(2)
Applications
(2)
Reinforcement Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Methods Β· Reinforcement Learning
(1)
Methods Β· Data Science & Analytics
(1)
Keywords
online learning
(4)
anomaly detection
(3)
distribution shift
(2)
linear bandit
(2)
robust estimation
(2)
model selection
(2)
stochastic gradient descent
(2)
decentralized algorithm
(2)
multi-armed bandit
(2)
regret minimization
(1)
logarithmic regret
(1)
parameter estimation
(1)
bandit feedback
(1)
false positive rate
(1)
regret bound
(1)
price discovery
(1)
cumulative regret
(1)
hash encoding
(1)
false positive
(1)
posterior inference
(1)
Papers
Probabilistic Hash Embeddings for Online Learning of Categorical Features
AAAI 2026
SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
ICML 2025
Online Adaptive Anomaly Thresholding with Confidence Sequences
ICML 2024
Double Auctions with Two-sided Bandit Feedback
NeurIPS 2023
Online Heavy-tailed Change-point detection
UAI 2023
Online robust non-stationary estimation
NeurIPS 2023
Breaking the βT Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
ICML 2022
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
ICML 2022
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
ICML 2021
Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
AISTATS 2021
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
AISTATS 2021
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
AISTATS 2020