Yanan Sui
20 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(29)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(72)
π
Century Club
(20)
π
Trend Setter
π₯
Unstoppable
(5)
β‘
Prolific Year
(6)
Conferences
ICML (4)
IJCAI (4)
NIPS (4)
CORL (2)
L4DC (2)
AISTATS (1)
CVPR (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
safety constraint
(4)
bayesian optimization
(4)
gaussian process
(4)
policy optimization
(3)
sequential decision making
(2)
safe reinforcement learning
(2)
imitation learning
(2)
regret bound
(2)
dueling bandit
(2)
safe exploration
(2)
high-dimensional optimization
(2)
reinforcement learning
(2)
policy learning
(1)
weakly supervised learning
(1)
maximum entropy
(1)
preference learning
(1)
sample efficiency
(1)
hyperparameter optimization
(1)
kullback-leibler divergence
(1)
function approximation
(1)
Papers
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
ICLR 2025
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
CORL 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
CORL 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
IJCAI 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NIPS 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC
L4DC 2024
An invariant information geometric method for high-dimensional online optimization
L4DC 2024
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
ICML 2024
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
IJCAI 2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
NIPS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
NIPS 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
Imitation with Neural Density Models
NIPS 2021
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
UAI 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
ICML 2020
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
CVPR 2019
Advancements in Dueling Bandits
IJCAI 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes
ICML 2018
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
IJCAI 2017
Safe Exploration for Optimization with Gaussian Processes
ICML 2015