Yuping Luo
10 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (3) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (17)
π§
Keyword Pioneer
Conferences
NIPS (4)
ICLR (3)
ICML (2)
ACL (1)
Top co-authors
Keywords
representation learning
(2)
safe reinforcement learning
(2)
contrastive learning
(1)
reinforcement learning
(1)
imitation learning
(1)
policy optimization
(1)
matrix factorization
(1)
function approximation
(1)
sample complexity
(1)
policy learning
(1)
adversarial training
(1)
behavior cloning
(1)
markov decision process
(1)
gradient descent
(1)
continuous control
(1)
model-based reinforcement learning
(1)
distribution shift
(1)
linear function approximation
(1)
optimal policy
(1)
low-rank recovery
(1)
Papers
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
ACL 2026
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
ICLR 2021
Safe Reinforcement Learning by Imagining the Near Future
NIPS 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
NIPS 2021
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
ICLR 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization
ICML 2020
On the Expressivity of Neural Networks for Deep Reinforcement Learning
ICML 2020
Implicit Regularization in Deep Matrix Factorization
NIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
NIPS 2019
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
ICLR 2019