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05/21/2023
Multi-channel Integrated Recommendation with Exposure Constraints
Integrated recommendation, which aims at jointly recommending heterogene...
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03/31/2023
Decentralized Weakly Convex Optimization Over the Stiefel Manifold
We focus on a class of non-smooth optimization problems over the Stiefel...
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03/06/2023
An Online Algorithm for Chance Constrained Resource Allocation
This paper studies the online stochastic resource allocation problem (RA...
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09/25/2022
Flattened Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have achieved sig...
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08/18/2022
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization
Maximizing a monotone submodular function is a fundamental task in machi...
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08/16/2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback
In this paper, we revisit the online non-monotone continuous DR-submodul...
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03/30/2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation
The recently proposed Graph Convolutional Networks (GCNs) have achieved ...
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01/03/2022
Continuous Submodular Maximization: Boosting via Non-oblivious Function
In this paper, we revisit the constrained and stochastic continuous subm...
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05/09/2021
Non-Recursive Graph Convolutional Networks
Graph Convolutional Networks (GCNs) are powerful models for node represe...
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06/07/2020
Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
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05/05/2020
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning
We consider the problem of maximizing the ℓ_1 norm of a linear map over ...
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11/12/2019
Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods
Nonsmooth Riemannian optimization is a still under explored subfield of ...
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07/02/2019
Voting-Based Multi-Agent Reinforcement Learning
The recent success of single-agent reinforcement learning (RL) encourage...
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03/12/2019
