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Hongjian Wang

Carnegie Mellon University

4 papers hereh-index 8194 citations17 works total

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

author position
  • first author4

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

fields
  • math.PR2
  • math.OC1
  • stat.ME1
affiliations
  • Carnegie Mellon University
Homepage
same name
  • Hongjian Wang — 3 papers
  • Hongjian Wang — 1 paper, h 5
  • Hongjian Wang — 1 paper

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
20212026
most citedConvergence Rates of Stochastic Gradient Descent under Infinite Noise Variance

10 citations · 10 across the 1 of their papers we have counts for

collaborators

4 papers

math.PR2026

Almost sure null bankruptcy of testing-by-betting strategies

Hongjian Wang, Shubhada Agrawal, Aaditya Ramdas

The bounded mean betting procedure serves as a crucial interface between the domains of (1) sequential, anytime-valid statistical inference, and (2) online learning and portfolio s…

stat.ME2025

Anytime-valid FDR control with the stopped e-BH procedure

Hongjian Wang, Sanjit Dandapanthula, Aaditya Ramdas

The recent e-Benjamini-Hochberg (e-BH) procedure for multiple hypothesis testing is known to control the false discovery rate (FDR) under arbitrary dependence between the input e-v…

math.PR2024

Sharp Matrix Empirical Bernstein Inequalities

Hongjian Wang, Aaditya Ramdas

We present two sharp, closed-form empirical Bernstein inequalities for symmetric random matrices with bounded eigenvalues. By sharp, we mean that both inequalities adapt to the unk…

math.OC2021★ 10 cited

Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance

Hongjian Wang, Mert Gürbüzbalaban, Lingjiong Zhu +2

Recent studies have provided both empirical and theoretical evidence illustrating that heavy tails can emerge in stochastic gradient descent (SGD) in various scenarios. Such heavy…

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