Shaolei Ren
16 papers · 2020–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
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Keyword Pioneer
🐝
Cross-Pollinator
(11)
🤝
Dynamic Duo
(10)
👑
Triple Crown
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(16)
📈
Trend Setter
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Prolific Year
(5)
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Keyword Collector
(74)
Conferences
NIPS (7)
ICML (4)
AAAI (3)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
multi-armed bandit
(3)
contextual bandit
(3)
robust optimization
(2)
regret bound
(2)
competitive ratio
(2)
markov decision process
(2)
learning-augmented algorithm
(2)
online learning
(2)
semi-supervised learning
(1)
bayesian inference
(1)
reinforcement learning
(1)
intellectual property
(1)
game theory
(1)
reproducing kernel hilbert space
(1)
policy optimization
(1)
catastrophic forgetting
(1)
cumulative regret
(1)
pareto optimality
(1)
domain knowledge
(1)
online optimization
(1)
Papers
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
NIPS 2024
Safe Exploitative Play with Untrusted Type Beliefs
NIPS 2024
Building Socially-Equitable Public Models
ICML 2024
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
ICLR 2024
Online Budgeted Matching with General Bids
NIPS 2024
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
ICML 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
NIPS 2023
Anytime-Competitive Reinforcement Learning with Policy Prior
NIPS 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
NIPS 2023
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
AAAI 2023
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
ICML 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
NIPS 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