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Jason Xu

37 papers hereh-index 16910 citations60 works total

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

author position
  • first author6
  • middle author7
  • last author24

Across the 37 of 37 papers where every author was matched, so the position is known.

fields
  • stat.ME13
  • stat.ML11
  • stat.CO5
  • math.OC3
  • cs.CV1
  • cs.LG1
same name
  • Jason Xu — 2 papers, h 2
  • Jason Xu — 2 papers, h 2
  • Jason Xu — 1 paper, h 3
  • Jason Xu — 1 paper, h 3
  • Jason Xu — 1 paper, h 1

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
20102026
most citedCombination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning

57 citations · 159 across the 36 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

FIFA World Cup 2026 as a Contamination-Free Benchmark for LLM Forecasting Agents: Four Models, a Bookmaker, and 104 Matches

Jiacheng Ding, Cong Guo, Jason Xu

We introduce WC2026-Agents, a benchmark and dataset for evaluating large language models (LLMs) as autonomous forecasting agents on real, future events. For every one of the 104 ma…

stat.ME2026

Constrained Weighted Bayesian Bootstrap

Sam Rosen, Jason Xu

We prove the weighted Bayesian bootstrap, a method for approximate sampling of a posterior distribution, can be extended to sample from general constrained posterior distributions…

stat.ML2026

Affinity Graph Connectivity in Convex Clustering

Sam Rosen, Jason Xu

We generalize finite-sample bounds for convex clustering to the setting where affinity weights appearing in the objective correspond to a general connected graph. These bounds and…

stat.ME2026

Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection

Leo L Duan, Yuexi Wang, Jason Xu

Statistical models often assume that data are generated near a structured, smooth, or low-dimensional set. A common approach is to use Bayesian latent variable models, in which eac…

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