activity
20192022
most citedGroup Fairness in Committee Selection

30 citations · 31 across the 4 of their papers we have counts for

collaborators

6 papers

stat.ML2022

On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood

Moses Charikar, Zhihao Jiang, Kirankumar Shiragur +1

We provide an efficient unified plug-in approach for estimating symmetric properties of distributions given independent samples. Our estimator is based on profile-maximum-likel…

cs.LG20201 cited

Fair for All: Best-effort Fairness Guarantees for Classification

Anilesh K. Krishnaswamy, Zhihao Jiang, Kangning Wang +2

Standard approaches to group-based notions of fairness, such as \emph{parity} and \emph{equalized odds}, try to equalize absolute measures of performance across known groups (based…

cs.DS2020

Online Algorithms for Weighted Paging with Predictions

Zhihao Jiang, Debmalya Panigrahi, Kevin Sun

In this paper, we initiate the study of the weighted paging problem with predictions. This continues the recent line of work in online algorithms with predictions, particularly tha…

cs.GT2019

Approximately Stable Committee Selection

Zhihao Jiang, Kamesh Munagala, Kangning Wang

In the committee selection problem, we are given candidates, and voters. Candidates can have different weights. A committee is a subset of candidates, and its weight is the…

cs.GT201930 cited

Group Fairness in Committee Selection

Yu Cheng, Zhihao Jiang, Kamesh Munagala +1

In this paper, we study fairness in committee selection problems. We consider a general notion of fairness via stability: A committee is stable if no coalition of voters can deviat…

cs.DS2019

An FPTAS for Stochastic Unbounded Min-Knapsack Problem

Zhihao Jiang, Haoyu Zhao

In this paper, we study the stochastic unbounded min-knapsack problem (). The ordinary unbounded min-knapsack problem states that: There are types of items,…