6 papers
DART: aDaptive Accept RejecT for non-linear top-K subset identification
Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn +1
We consider the bandit problem of selecting out of arms at each time step. The reward can be a non-linear function of the rewards of the selected individual arms. The direc…
Hierarchical Deep Counterfactual Regret Minimization
Jiayu Chen, Zhekai Wang, Vaneet Aggarwal
Imperfect Information Games (IIGs) offer robust models for scenarios where decision-makers face uncertainty or lack complete information. Counterfactual Regret Minimization (CFR) h…
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Many engineering problems have multiple objectives, and the overall aim is to optimize a non-linear function of these objectives. In this paper, we formulate the problem of maximiz…
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
Mohammad Pedramfar, Vaneet Aggarwal
This paper investigates the problem of combinatorial multiarmed bandits with stochastic submodular (in expectation) rewards and full-bandit delayed feedback, where the delayed feed…
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli, Jihong Park, Amrit S. Bedi +3
In this article, we propose a communication-efficient decentralized machine learning (ML) algorithm, coined quantized group ADMM (Q-GADMM). To reduce the number of communication li…
Learning-based Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation
Chang-Lin Chen, Hanhan Zhou, Jiayu Chen +8
Online optimization of resource management for large-scale data centers and infrastructures to meet dynamic capacity reservation demands and various practical constraints (e.g., fe…