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09/12/2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning
Graph anomaly detection (GAD) has attracted increasing attention in mach...
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09/01/2023
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information
In unsupervised scenarios, deep contrastive multi-view clustering (DCMVC...
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08/31/2023
Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
Anchor-based multi-view graph clustering (AMVGC) has received abundant a...
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08/31/2023
Scalable Incomplete Multi-View Clustering with Structure Alignment
The success of existing multi-view clustering (MVC) relies on the assump...
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08/17/2023
DealMVC: Dual Contrastive Calibration for Multi-view Clustering
Benefiting from the strong view-consistent information mining capacity, ...
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07/07/2023
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
Multi-view clustering (MVC), which effectively fuses information from mu...
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07/06/2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Risk-sensitive reinforcement learning (RL) aims to optimize policies tha...
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06/19/2023
Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games
The congestion game is a powerful model that encompasses a range of engi...
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06/08/2023
One-step Multi-view Clustering with Diverse Representation
Multi-view clustering has attracted broad attention due to its capacity ...
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05/19/2023
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method
Neural collapse describes the geometry of activation in the final layer ...
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04/11/2023
A Game-theoretic Framework for Federated Learning
In federated learning, benign participants aim to optimize a global mode...
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03/30/2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
We study contextual combinatorial bandits with probabilistically trigger...
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03/28/2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
The success of existing multi-view clustering relies on the assumption o...
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01/03/2023
Cluster-guided Contrastive Graph Clustering Network
Benefiting from the intrinsic supervision information exploitation capab...
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12/07/2022
Contrastive Deep Graph Clustering with Learnable Augmentation
Graph contrastive learning is an important method for deep graph cluster...
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12/01/2022
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
Graph anomaly detection (GAD) is a vital task in graph-based machine lea...
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11/16/2022
Dueling Bandits: From Two-dueling to Multi-dueling
We study a general multi-dueling bandit problem, where an agent compares...
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08/31/2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
In this paper, we study the combinatorial semi-bandits (CMAB) and focus ...
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08/11/2022
Regret Analysis for Hierarchical Experts Bandit Problem
We study an extension of standard bandit problem in which there are R la...
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08/02/2022
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization
Multi-view clustering (MVC) optimally integrates complementary informati...
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07/13/2022
Multiple Kernel Clustering with Dual Noise Minimization
Clustering is a representative unsupervised method widely applied in mul...
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07/05/2022
Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph
Multiple kernel clustering (MKC) is committed to achieving optimal infor...
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06/18/2022
Thompson Sampling for (Combinatorial) Pure Exploration
Existing methods of combinatorial pure exploration mainly focus on the U...
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06/06/2022
Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path
In this paper, we study a novel episodic risk-sensitive Reinforcement Le...
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05/30/2022
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Multi-view anchor graph clustering selects representative anchors to avo...
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05/08/2021
Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions
In this paper, we study the pure exploration bandit model on general dis...
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05/01/2021
Multi-view Clustering via Deep Matrix Factorization and Partition Alignment
Multi-view clustering (MVC) has been extensively studied to collect mult...
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05/01/2021
Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement
Multi-view clustering is an important yet challenging task in machine le...
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03/21/2021
Deep Distribution-preserving Incomplete Clustering with Optimal Transport
Clustering is a fundamental task in the computer vision and machine lear...
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02/24/2021
Continuous Mean-Covariance Bandits
Existing risk-aware multi-armed bandit models typically focus on risk me...
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01/06/2021
Multi-object Tracking with a Hierarchical Single-branch Network
Recent Multiple Object Tracking (MOT) methods have gradually attempted t...
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12/14/2020
A One-Size-Fits-All Solution to Conservative Bandit Problems
In this paper, we study a family of conservative bandit problems (CBPs) ...
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12/13/2020
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
We study the multi-armed bandit (MAB) problem with composite and anonymo...
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11/05/2020
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
We study the online restless bandit problem, where the state of each arm...
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08/31/2020
Multi-View Spectral Clustering with High-Order Optimal Neighborhood Laplacian Matrix
Multi-view spectral clustering can effectively reveal the intrinsic clus...
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09/09/2019
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
In existing CNN based detectors, the backbone network is a very importan...
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11/05/2018
Multi-armed Bandits with Compensation
We propose and study the known-compensation multi-arm bandit (KCMAB) pro...
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03/13/2018
