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Xi Chen

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML3
  • cs.LG1
ORCID 0000-0002-9049-9452
same name
  • Xi Chen — 15 papers, h 17
  • Xi Chen — 13 papers, h 21
  • Xi Chen — 12 papers, h 79
  • Xi Chen — 12 papers
  • Xi Chen — 12 papers, h 20
  • Xi Chen — 12 papers, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142021
most citedStatistical Decision Making for Optimal Budget Allocation in Crowd Labeling

43 citations · 64 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2021★ 12 cited

Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference

Jiyuan Tu, Weidong Liu, Xiaojun Mao +1

This paper develops an efficient distributed inference algorithm, which is robust against a moderate fraction of Byzantine nodes, namely arbitrary and possibly adversarial machines…

stat.ML2021★ 6 cited

Adversarial Combinatorial Bandits with General Non-linear Reward Functions

Xi Chen, Yanjun Han, Yining Wang

In this paper we study the adversarial combinatorial bandit with a known non-linear reward function, extending existing work on adversarial linear combinatorial bandit. {The advers…

stat.ML2016★ 3 cited

Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing

Xi Chen, Kevin Jiao, Qihang Lin

Rank aggregation based on pairwise comparisons over a set of items has a wide range of applications. Although considerable research has been devoted to the development of rank aggr…

cs.LG2014★ 43 cited

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling

Xi Chen, Qihang Lin, Dengyong Zhou

In crowd labeling, a large amount of unlabeled data instances are outsourced to a crowd of workers. Workers will be paid for each label they provide, but the labeling requester usu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.