← Authors

Jun-Kun Wang

15 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (6) πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (54) πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer

Conferences

ICLR (4) ICML (4) ACML (2) NIPS (2) AAAI (1) ALT (1) COLT (1)

Top co-authors

Andre Wibisono (4) Jacob Abernethy (3) Chi-Heng Lin (3) Jacob D. Abernethy (2) Shou-De Lin (2) Kevin A. Lai (1) Jacob D Abernethy (1) Can Chen (1) Jarrid Rector-Brooks (1) Chi-Jen Lu (1)

Keywords

convex optimization (3) gradient descent (3) neural network optimization (3) online learning (2) regret bound (2) frank-wolfe method (2) game theory (1) nash equilibrium (1) nonconvex optimization (1) time series prediction (1) constrained optimization (1) non-convex optimization (1) inverse covariance estimation (1) accelerated gradient (1) game equilibrium (1) matrix estimation (1) projection-free optimization (1) online linear optimization (1) convergence analysis (1) robust regression (1)

Papers

Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting ICML 2025
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation ICLR 2023
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time ICLR 2023
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021
A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network ICML 2021
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron ACML 2021
Escaping Saddle Points Faster with Stochastic Momentum ICLR 2020
Online Linear Optimization with Sparsity Constraints ALT 2019
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets AAAI 2019
Faster Rates for Convex-Concave Games COLT 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
On Frank-Wolfe and Equilibrium Computation NIPS 2017
Robust Inverse Covariance Estimation under Noisy Measurements ICML 2014