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Chen Xu

Georgia Institute of Technology

17 papers hereh-index 11615 citations25 works total

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

author position
  • first author11
  • middle author5
  • last author1

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • stat.ML8
  • cs.LG4
  • stat.AP3
  • stat.ME2
affiliations
  • Georgia Institute of Technology
Homepage
same name
  • Chen Xu — 19 papers, h 10
  • Chen Xu — 13 papers, h 7
  • Chen Xu — 11 papers, h 7
  • Chen Xu — 11 papers, h 8
  • Chen Xu — 10 papers, h 15
  • Chen Xu — 10 papers, h 4

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
20202025
most citedPredictive Inference Is Free with the Jackknife+-after-Bootstrap

32 citations · 60 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

stat.ML2024

Local Flow Matching Generative Models

Chen Xu, Xiuyuan Cheng, Yao Xie

Flow Matching (FM) is a simulation-free method for learning a continuous, invertible flow that interpolates between two distributions, and in particular generates data from noise.…

cs.LG2024★ 1 cited

Transformer Conformal Prediction for Time Series

Junghwan Lee, Chen Xu, Yao Xie

We present a conformal prediction method for time series using the Transformer architecture to capture long-memory and long-range dependencies. Specifically, we use the Transformer…

cs.LG2024★ 1 cited

Kernel-based Optimally Weighted Conformal Time-Series Prediction

Jonghyeok Lee, Chen Xu, Yao Xie

In this work, we present a novel conformal prediction method for time-series, which we call Kernel-based Optimally Weighted Conformal Prediction Intervals (KOWCPI). Specifically, K…

stat.ML2024★ 2 cited

Conformal prediction for multi-dimensional time series by ellipsoidal sets

Chen Xu, Hanyang Jiang, Yao Xie

Conformal prediction (CP) has been a popular method for uncertainty quantification because it is distribution-free, model-agnostic, and theoretically sound. For forecasting problem…

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