Haobo Zhang
13 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (28) π Triple Crown
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(71)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(8)
Application Areas
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Artificial Intelligence
(2)
Core AI
(2)
Techniques
(2)
Reinforcement Learning
(1)
Speech & Audio
(1)
Architectures
(1)
Learning Types Β· Deep Learning
(1)
Keywords
kernel ridge regression
(5)
spectral algorithm
(2)
source condition
(2)
reproducing kernel hilbert space
(2)
minimax optimality
(2)
statistical learning theory
(2)
information retrieval
(1)
speech recognition
(1)
offline reinforcement learning
(1)
model merging
(1)
constrained optimization
(1)
primal-dual algorithm
(1)
gradient descent
(1)
generalization error
(1)
distributed learning
(1)
power-law decay
(1)
excess risk
(1)
online convex optimization
(1)
linear programming
(1)
sample complexity
(1)
Papers
Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval
COLING 2025
On the Power of Optimism in Constrained Online Convex Optimization
IJCAI 2025
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions
JMLR 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
ACL 2025
On the Optimality of Misspecified Spectral Algorithms
JMLR 2024
On the Saturation Effects of Spectral Algorithms in Large Dimensions
NeurIPS 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
NeurIPS 2024
Safe and Robust Watermark Injection with a Single OoD Image
ICLR 2024
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
NeurIPS 2023
On the Optimality of Misspecified Kernel Ridge Regression
ICML 2023
On the Saturation Effect of Kernel Ridge Regression
ICLR 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions
NeurIPS 2023
Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-Switching Speech Recognition
Interspeech 2020