Daniel Jiang
11 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (7)
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Cross-Pollinator
(12)
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Interdisciplinary Bridge
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Century Club
(11)
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Trend Setter
Conferences
NIPS (5)
ICLR (2)
ICML (2)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(4)
bayesian optimization
(3)
deep reinforcement learning
(2)
expected improvement
(2)
acquisition function
(2)
policy learning
(2)
gaussian process
(2)
policy optimization
(2)
statistical inference
(1)
markov decision process
(1)
false discovery rate
(1)
sample complexity
(1)
value function
(1)
adversarial robustness
(1)
stochastic approximation
(1)
optimal value
(1)
variance reduction
(1)
partial observability
(1)
action value
(1)
visual question answering
(1)
Papers
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
ICLR 2025
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
ICLR 2025
Pearl: A Production-Ready Reinforcement Learning Agent
JMLR 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NIPS 2024
Weakly Coupled Deep Q-Networks
NIPS 2023
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NIPS 2021
The Power of Batching in Multiple Hypothesis Testing
AISTATS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NIPS 2020
Lookahead-Bounded Q-learning
ICML 2020
Feedback-Based Tree Search for Reinforcement Learning
ICML 2018