Wei-Wei Tu
18 papers · 2019–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (8)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Academic Marathon
(5)
π
Grand Slam
ποΈ
Keyword Collector
(83)
π
Conference Pioneer
π
Century Club
(18)
π₯
Unstoppable
(6)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
AAAI (6)
ICML (3)
INTERSPEECH (2)
JMLR (2)
NIPS (2)
ACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
online convex optimization
(5)
regret bound
(5)
hyperparameter optimization
(3)
automated machine learning
(3)
communication complexity
(2)
online learning
(2)
semi-supervised learning
(2)
neural architecture search
(2)
online mirror descent
(2)
projection-free algorithm
(2)
dynamic regret
(2)
stochastic optimization
(2)
distributed learning
(2)
weakly supervised learning
(1)
probabilistic inference
(1)
clustering analysis
(1)
reinforcement learning
(1)
convex optimization
(1)
transfer learning
(1)
adversarial learning
(1)
Papers
Safe Abductive Learning in the Presence of Inaccurate Rules
AAAI 2024
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
ICML 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments
ACL 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
JMLR 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
ICML 2023
Online Frank-Wolfe with Arbitrary Delays
NIPS 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity
JMLR 2022
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
NIPS 2021
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
AAAI 2021
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
INTERSPEECH 2021
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
INTERSPEECH 2020
Efficient Neural Architecture Search via Proximal Iterations
AAAI 2020
SAdam: A Variant of Adam for Strongly Convex Functions
ICLR 2020
Projection-free Distributed Online Convex Optimization with $O(\sqrtT)$ Communication Complexity
ICML 2020
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
AAAI 2019
Learning for Tail Label Data: A Label-Specific Feature Approach
IJCAI 2019
Towards Automated Semi-Supervised Learning
AAAI 2019