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researcher

Xiao Wang

3 papers hereh-index 3455 citations4 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.GT1
same name
  • Xiao Wang — 71 papers, h 66
  • Xiao Wang — 31 papers, h 35
  • Xiao Wang — 25 papers, h 18
  • Xiao Wang — 21 papers, h 6
  • Xiao Wang — 20 papers, h 38
  • Xiao Wang — 17 papers, h 7

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
20192023
most citedMeasuring Compositional Generalization: A Comprehensive Method on Realistic Data

55 citations · 57 across the 3 of their papers we have counts for

collaborators

3 papers

cs.GT2023★ 1 cited

Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees

Ioannis Panageas, Stratis Skoulakis, Luca Viano +2

In this work, we introduce a new variant of online gradient descent, which provably converges to Nash Equilibria and simultaneously attains sublinear regret for the class of conges…

cs.LG2020★ 1 cited

Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently

Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis +1

Non-negative matrix factorization (NMF) is a fundamental non-convex optimization problem with numerous applications in Machine Learning (music analysis, document clustering, speech…

cs.LG2019★ 55 cited

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Daniel Keysers, Nathanael Schärli, Nathan Scales +11

State-of-the-art machine learning methods exhibit limited compositional generalization. At the same time, there is a lack of realistic benchmarks that comprehensively measure this…

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