Shaolei Ren
16 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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(5)
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(84)
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Research topics
Machine Learning
(13)
Learning Types
(9)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Core AI
(7)
Mathematics & Optimization
(5)
Reinforcement Learning
(5)
Optimization
(5)
Deep Learning
(4)
Methods
(4)
Architectures
(2)
Core Methods
(2)
Natural Language Processing
(1)
Security & Privacy
(1)
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(1)
Keywords
multi-armed bandit
(3)
contextual bandit
(3)
online learning
(2)
markov decision process
(2)
robust optimization
(2)
regret bound
(2)
competitive ratio
(2)
learning-augmented algorithm
(2)
model protection
(2)
semi-supervised learning
(1)
bayesian inference
(1)
game theory
(1)
policy gradient
(1)
fairness
(1)
reinforcement learning
(1)
transfer learning
(1)
online optimization
(1)
policy optimization
(1)
catastrophic forgetting
(1)
reproducing kernel hilbert space
(1)
Papers
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
ICLR 2024
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
NeurIPS 2024
Building Socially-Equitable Public Models
ICML 2024
Online Budgeted Matching with General Bids
NeurIPS 2024
Safe Exploitative Play with Untrusted Type Beliefs
NeurIPS 2024
Anytime-Competitive Reinforcement Learning with Policy Prior
NeurIPS 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
NeurIPS 2023
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
AAAI 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
ICML 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
ICML 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
NeurIPS 2023
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
ICML 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning
NeurIPS 2022
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract)
AAAI 2021
Robust Bandit Learning with Imperfect Context
AAAI 2021
Multi-Feedback Bandit Learning with Probabilistic Contexts
IJCAI 2020