Jun-Kun Wang
15 papers · 2014–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🧬
Topic Evolution
🏆
Grand Slam
🗃️
Keyword Collector
(54)
💎
Century Club
(15)
🔥
Unstoppable
(7)
🚀
Conference Pioneer
Conferences
ICLR (4)
ICML (4)
ACML (2)
NIPS (2)
AAAI (1)
ALT (1)
COLT (1)
Top co-authors
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