Integrated recommendation, which aims at jointly recommending heterogene...
We focus on a class of non-smooth optimization problems over the Stiefel...
This paper studies the online stochastic resource allocation problem (RA...
Graph Convolutional Networks (GCNs) and their variants have achieved
sig...
Maximizing a monotone submodular function is a fundamental task in machi...
In this paper, we revisit the online non-monotone continuous DR-submodul...
The recently proposed Graph Convolutional Networks (GCNs) have achieved
...
In this paper, we revisit the constrained and stochastic continuous
subm...
Graph Convolutional Networks (GCNs) are powerful models for node
represe...
Graph Convolutional Networks (GCNs) and their variants have received
sig...
We consider the problem of maximizing the ℓ_1 norm of a linear map over
...
Nonsmooth Riemannian optimization is a still under explored subfield of
...
The recent success of single-agent reinforcement learning (RL) encourage...
Variable selection is one of the most important tasks in statistics and
...