Miao Lu
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
β
The Questioner
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Core AI
(8)
Reinforcement Learning
(6)
Learning Types Β· Machine Learning
(6)
Methods
(6)
Optimization & Theory
(6)
Deep Learning
(5)
Computer Vision
(2)
Mathematics & Optimization
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Keywords
feature learning
(2)
offline reinforcement learning
(2)
human-object interaction detection
(2)
reinforcement learning
(2)
sample complexity
(2)
object detection
(2)
sublinear regret
(2)
neural network
(2)
multi-task learning
(1)
direct preference optimization
(1)
sample efficiency
(1)
knowledge transfer
(1)
multi-agent reinforcement learning
(1)
network pruning
(1)
policy gradient
(1)
stochastic gradient descent
(1)
markov decision process
(1)
reinforcement learning from human feedback
(1)
exploration-exploitation tradeoff
(1)
language model alignment
(1)
Papers
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression
ACL 2026
Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model
ICLR 2025
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
ICLR 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
NeurIPS 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NeurIPS 2024
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
NeurIPS 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
NeurIPS 2023
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
ICLR 2023
GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection
CVPR 2022
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
ICLR 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
ICML 2022
Mining the Benefits of Two-stage and One-stage HOI Detection
NeurIPS 2021