Wei-Wei Tu
18 papers · 2019–2024 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Deep Specialist
(10)
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(93)
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(12)
Learning Types Β· Machine Learning
(10)
Mathematics & Optimization
(8)
Optimization
(8)
Artificial Intelligence
(7)
Core AI
(6)
Application Areas
(3)
Deep Learning
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Keywords
regret bound
(6)
online convex optimization
(5)
automated machine learning
(3)
hyperparameter optimization
(3)
semi-supervised learning
(2)
online learning
(2)
communication complexity
(2)
neural architecture search
(2)
projection-free algorithm
(2)
convex optimization
(2)
online mirror descent
(2)
distributed learning
(2)
dynamic regret
(2)
stochastic optimization
(2)
weakly supervised learning
(1)
probabilistic inference
(1)
clustering analysis
(1)
reinforcement learning
(1)
transfer learning
(1)
adversarial learning
(1)
Papers
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
Efficient Stochastic Approximation of Minimax Excess Risk Optimization
ICML 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
Safe Abductive Learning in the Presence of Inaccurate Rules
AAAI 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
ICML 2023
Online Frank-Wolfe with Arbitrary Delays
NeurIPS 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity
JMLR 2022
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
Interspeech 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
NeurIPS 2021
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
AAAI 2021
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification
Interspeech 2020
Efficient Neural Architecture Search via Proximal Iterations
AAAI 2020
Projection-free Distributed Online Convex Optimization with O(βT) Communication Complexity
ICML 2020
SAdam: A Variant of Adam for Strongly Convex Functions
ICLR 2020
Learning for Tail Label Data: A Label-Specific Feature Approach
IJCAI 2019
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
AAAI 2019
Towards Automated Semi-Supervised Learning
AAAI 2019