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08/21/2023
Graph Neural Bandits
Contextual bandits algorithms aim to choose the optimal arm with the hig...
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05/05/2023
Neural Exploitation and Exploration of Contextual Bandits
In this paper, we study utilizing neural networks for the exploitation a...
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10/02/2022
Improved Algorithms for Neural Active Learning
We improve the theoretical and empirical performance of neural-network(N...
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06/08/2022
Neural Bandit with Arm Group Graph
Contextual bandits aim to identify among a set of arms the optimal one w...
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03/09/2022
DISCO: Comprehensive and Explainable Disinformation Detection
Disinformation refers to false information deliberately spread to influe...
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01/31/2022
Neural Collaborative Filtering Bandits via Meta Learning
Contextual multi-armed bandits provide powerful tools to solve the explo...
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10/07/2021
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits
Contextual multi-armed bandits have been studied for decades and adapted...
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06/06/2021
Multi-facet Contextual Bandits: A Neural Network Perspective
Contextual multi-armed bandit has shown to be an effective tool in recom...
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07/14/2020
Generic Outlier Detection in Multi-Armed Bandit
In this paper, we study the problem of outlier arm detection in multi-ar...
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08/22/2019
Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping
The miss rate of TLB is crucial to the performance of address translatio...
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10/21/2018
Catching Loosely Synchronized Behavior in Face of Camouflage
Fraud has severely detrimental impacts on the business of social network...
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10/16/2018
On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms
Detecting dense subgraphs from large graphs is a core component in many ...
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10/16/2018
On Finding Dense Subgraphs in Bipartite Graphs: Linear Algorithms with Applications to Fraud Detection
Detecting dense subgraphs from large graphs is a core component in many ...
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10/15/2018
Bounding Entities within Dense Subtensors
Group-based fraud detection is a promising methodology to catch frauds o...
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05/25/2018
