Daniel Jiang
11 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(54)
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Research topics
Keywords
reinforcement learning
(4)
bayesian optimization
(3)
deep reinforcement learning
(2)
policy optimization
(2)
expected improvement
(2)
policy learning
(2)
acquisition function
(2)
deep q-network
(2)
gaussian process
(2)
false discovery rate
(1)
markov decision process
(1)
adversarial robustness
(1)
sample complexity
(1)
value function
(1)
visual question answering
(1)
temporal difference learning
(1)
optimal value
(1)
distribution shift
(1)
stochastic approximation
(1)
variance reduction
(1)
Papers
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
ICLR 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
ICLR 2025
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NeurIPS 2024
Pearl: A Production-Ready Reinforcement Learning Agent
JMLR 2024
Weakly Coupled Deep Q-Networks
NeurIPS 2023
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NeurIPS 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NeurIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NeurIPS 2020
Lookahead-Bounded Q-learning
ICML 2020
The Power of Batching in Multiple Hypothesis Testing
AISTATS 2020
Feedback-Based Tree Search for Reinforcement Learning
ICML 2018