Zhaoxuan Wu
15 papers · 2021–2025 · 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38) π€ Dynamic Duo (15)
π
Grand Slam
π€
Dynamic Duo
(15)
π§
Keyword Pioneer
π
Century Club Β· Bronze
β
The Questioner
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(76)
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory Β· Machine Learning
(11)
Artificial Intelligence
(8)
Application Areas
(8)
Core AI
(7)
Learning Types
(6)
Deep Learning
(4)
Core Methods
(3)
Optimization & Theory Β· Deep Learning
(3)
Natural Language Processing
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Keywords
large language model
(5)
data valuation
(3)
in-context learning
(2)
gaussian process
(2)
prompt optimization
(2)
neural bandit
(2)
incentive mechanism
(2)
generalization performance
(2)
convex optimization
(1)
prompt engineering
(1)
transfer learning
(1)
token selection
(1)
transformer
(1)
neural architecture search
(1)
neural tangent kernel
(1)
knowledge transfer
(1)
network architecture
(1)
mechanism design
(1)
kernel regression
(1)
gradient-based optimization
(1)
Papers
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
ICLR 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
AAAI 2025
TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
ACL 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Distributionally Robust Data Valuation
ICML 2024
Incentive-Aware Federated Learning with Training-Time Model Rewards
ICLR 2024
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
NeurIPS 2024
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
ICML 2024
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
AISTATS 2023
DAVINZ: Data Valuation using Deep Neural Networks at Initialization
ICML 2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
NeurIPS 2022
Trusted-maximizers entropy search for efficient Bayesian optimization
UAI 2021
Validation Free and Replication Robust Volume-based Data Valuation
NeurIPS 2021