Optimization theorist working on monotone inclusions, variational inequalities, and optimal oracle-complexity methods
2
papers here
2
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-08) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.
Research profile
Output—
Output metrics are not yet available: the underlying data provides no aggregated publication counts, venue history, or yearly volume. This axis would measure total scholarly output and its distribution over time and across venues.
Impact—
Impact cannot be scored: no citation counts, h-index, or reference-impact data are present in this snapshot. This axis would measure how widely the work is cited and its influence within the optimization and operator-theory community.
Focus0/100
The focus score of 0 indicates extreme concentration: the field distribution splits 50/50 between two labels that both describe the same territory — monotone operator theory within continuous optimization and variational inequalities. Both catalogued papers, the Polyak-type extragradient work and the anchored extra-proximal work, address monotone inclusion problems and oracle complexity. This is a deliberately narrow agenda, well suited to building depth in lower-bound and optimal-method analysis.
Collaboration36/100
The collaboration score of 32 reflects a compact network: only 4 distinct coauthors appear in the available data, all recurring — Sayantan Choudhury, Ezra Greenberg, Nicolas Loizou, and Ruichen Jiang. The two catalogued preprints cover both first-author and last-author positions, suggesting an established working group rather than broad cross-institutional collaboration. This small, tightly coupled team profile is typical of theory work, though the current scope covers only two papers.
Activity—
Activity data is insufficient: no publication cadence, recency distribution, or longitudinal timestamps beyond the two 2026 preprints are available. This axis would measure ongoing research tempo and recent engagement over time.
Reproducibility55/100
Reproducibility readiness averages 55 across the 2 reviewed papers, both rated medium. Evolve's assessment flags that the anchored extra-proximal paper relies on exact subproblem solves and AI-assisted proofs that deserve scrutiny, while the Polyak-type extragradient paper's stochastic guarantees lean on a localization assumption. A mid-range score is consistent with strong theoretical statements whose empirical artifacts and assumption sets require careful verification before independent replication.
Research summary
TaeHo Yoon is a researcher at Johns Hopkins University whose work sits in continuous optimization and monotone operator theory. The Evolve catalog currently holds two 2026 arXiv preprints, with Yoon in the first-author slot on one and the last-author slot on the other. The first-author paper, 'Polyak-Type Extragradient Methods for Monotone Root-Finding Problems,' recasts the extragradient projection step as a Polyak step-size, delivering unified convergence rates for Hölder-continuous and (L0,L1) operators, with stochastic guarantees that rest on a localization assumption. The last-author paper, 'Anchored Extra-Proximal Methods,' proves optimal Õ(ε^{-2/(3p-1)}) higher-order oracle complexity for monotone inclusion problems through matching bounds, combining Halpern-style anchor acceleration with extra-proximal schemes; Evolve judges the theory coherent while flagging exact subproblem solves and AI-assisted proofs for scrutiny. The bibliometric footprint is compact and coherent: four distinct coauthors — Sayantan Choudhury, Ezra Greenberg, Nicolas Loizou, and Ruichen Jiang — and a field distribution split 50/50 between two labels that both describe monotone operator theory, indicating a deliberately narrow agenda. Reproducibility readiness averages 55 across the two papers, both rated medium. Output, impact, and activity metrics are absent from the current data and are therefore left unscored in this profile.
Collaboration pattern
The available record shows a small, stable co-author circle: 4 distinct coauthors — Sayantan Choudhury, Ezra Greenberg, Nicolas Loizou, and Ruichen Jiang — across the two catalogued 2026 preprints. Yoon occupies both first-author and last-author positions, consistent with participation at multiple levels of a single working group. No cross-institutional or large-consortium collaborations appear in the current data; the collaboration score of 32 reflects this compactness.
Research keywords
Highlights
Optimal higher-order complexity for monotone inclusions
Extragradient's projection step recast as a Polyak step-size
A concentrated agenda in monotone operator theory
Both 2026 preprints sit in the same narrow territory — monotone inclusions and variational inequalities — with the field distribution split evenly between two nearly identical field labels, and the author covering both first and last authorship positions within one working group.
Timeline
- 2026Publishes the arXiv preprint 'Polyak-Type Extragradient Methods for Monotone Root-Finding Problems' as first author, recasting the extragradient projection step as a Polyak step-size with unified rates.
- 2026Publishes the arXiv preprint 'Anchored Extra-Proximal Methods' as last author, establishing optimal Õ(ε^{-2/(3p-1)}) higher-order complexity for monotone inclusion problems.
- 2026Both preprints appear in the same year, consolidating a research agenda on optimal methods for monotone operator problems within continuous optimization.
Papers in the Evolve catalog
Frequent co-authors
About this profile
This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.
- Bibliometrics are drawn from Evolve's reviewed catalog only: 2 arXiv preprints from 2026; no citation, venue, or h-index data are included.
- Output, impact, and activity dimensions lack underlying data and are left unscored rather than estimated.
- 'TaeHo Yoon' is a relatively common name; this profile is name-resolved from public bibliographic data and the Johns Hopkins affiliation, without independent identity verification.
- The reproducibility mean (55) rests on only 2 reviewed papers, both rated medium readiness.