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TaeHo Yoon
Observed name:
Yoon, TaeHo
Institutions:
Google (United States),
Johns Hopkins University
Observed institutions:
Google (United States),
Johns Hopkins University
OpenAlex ID:
A5115902718
Peppy: An AI-Assisted Workflow for Tight Convergence Analysis of Optimization Algorithms
2026
·
Suh, Jaewook J.
, Yoon, TaeHo
, et al.
·
arXiv (Cornell University)
PDF
Dual-Anchor Acceleration Is Near-Optimal for Stochastic Monotone Root-Finding
2026
·
Yoon, TaeHo
, Loizou, Nicolas
·
arXiv (Cornell University)
PDF
Anchored Extra-Proximal Methods: Optimal Higher-Order Methods for Monotone Inclusion Problems
2026
·
Jiang, Ruichen
, Yoon, TaeHo
·
arXiv (Cornell University)
PDF
Polyak-Type Extragradient Methods for Monotone Root-Finding Problems
2026
·
Yoon, TaeHo
, Choudhury, Sayantan
, et al.
·
arXiv (Cornell University)
PDF
Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization
2026
·
Yoon, TaeHo
, Loizou, Nicolas
·
arXiv (Cornell University)
PDF
On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities
2026
·
Yoon, TaeHo
, Loizou, Nicolas
·
arXiv (Cornell University)
PDF
Toward a Systematic Understanding and Interactive Search of Lyapunov-Style Proofs in Optimization
2026
·
Yoon, TaeHo
, Suh, Jaewook J.
, et al.
·
arXiv (Cornell University)
PDF
A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms
2026
·
Yoon, TaeHo
, Grimmer, Benjamin
·
arXiv (Cornell University)
PDF
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication
2025
·
TaeHo Yoon
, Sayantan Choudhury
, et al.
·
neural information processing systems
PDF
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Works count:
9
Citation count:
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