Ji Cheng
9 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Architectures
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Optimization
(2)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
multi-armed bandit
(4)
regret bound
(3)
multi-objective optimization
(3)
lexicographic ordering
(2)
upper confidence bound
(2)
gaussian process
(1)
class-incremental learning
(1)
catastrophic forgetting
(1)
thompson sampling
(1)
off-policy learning
(1)
pareto optimality
(1)
parametric optimization
(1)
sequential decision making
(1)
label complexity
(1)
exploration-exploitation tradeoff
(1)
feature learning
(1)
online algorithm
(1)
low-rank adaptation
(1)
multi-objective reinforcement learning
(1)
learning theory
(1)
Papers
Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning
CVPR 2026
Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies
AAAI 2026
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2026
Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound
JMLR 2025
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
ICML 2025
Multi-Objective Neural Bandits with Random Scalarization
IJCAI 2025
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
AAAI 2024
Multiobjective Lipschitz Bandits under Lexicographic Ordering
AAAI 2024
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
ICML 2024