11 citations · 11 across the 3 of their papers we have counts for
5 papers
Distributionally Robust Observable Strategic Queues
Yijie Wang, Madhushini Narayana Prasad, Grani A. Hanasusanto +1
This paper presents an extension of Naor's analysis on the join-or-balk problem in observable M/M/1 queues. While all other Markovian assumptions still hold, we explore this proble…
Provable Constrained Stochastic Convex Optimization with XOR-Projected Gradient Descent
Fan Ding, Yijie Wang, Jianzhu Ma +1
Provably solving stochastic convex optimization problems with constraints is essential for various problems in science, business, and statistics. Recently proposed XOR-Stochastic G…
On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach
Prateek R. Srivastava, Yijie Wang, Grani A. Hanasusanto +1
We consider generic stochastic optimization problems in the presence of side information which enables a more insightful decision. The side information constitutes observable exoge…
DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities
Zhiyue Wu, Hongzuo Xu, Guansong Pang +4
DRAM failure prediction is a vital task in AIOps, which is crucial to maintain the reliability and sustainable service of large-scale data centers. However, limited work has been d…
Wasserstein Robust Classification with Fairness Constraints
Yijie Wang, Viet Anh Nguyen, Grani A. Hanasusanto
We propose a distributionally robust classification model with a fairness constraint that encourages the classifier to be fair in view of the equality of opportunity criterion. We…