Yu-Guan Hsieh
11 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Academic Marathon
(6)
π
Century Club
(11)
π₯
Unstoppable
(7)
Conferences
NIPS (4)
ICML (3)
ICLR (2)
COLT (1)
JMLR (1)
Top co-authors
Keywords
no-regret learning
(2)
regret bound
(2)
convergence rate
(2)
stochastic optimization
(2)
variationally stable game
(2)
game theory
(1)
binary classification
(1)
stochastic gradient
(1)
online decision making
(1)
posterior sampling
(1)
positive unlabeled learning
(1)
empirical risk minimization
(1)
regret minimization
(1)
nash equilibrium
(1)
online learning
(1)
thompson sampling
(1)
ucb algorithm
(1)
weakly supervised learning
(1)
asynchronous optimization
(1)
optimization theory
(1)
Papers
Simple ReFlow: Improved Techniques for Fast Flow Models
ICLR 2025
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
ICLR 2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
ICML 2024
Thompson Sampling with Diffusion Generative Prior
ICML 2023
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
JMLR 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
NIPS 2022
Uplifting Bandits
NIPS 2022
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
COLT 2021
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
NIPS 2020
Classification from Positive, Unlabeled and Biased Negative Data
ICML 2019
On the convergence of single-call stochastic extra-gradient methods
NIPS 2019