Simon Shaolei Du

61 papers A* 30A 1Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cold-Start Personalization via Training-Free Priors from Structured World Models. CoRR Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, Asli Celikyilmaz
2025	J	`jnl`	Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. CoRR Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Shaolei Du, Yejin Choi, Tim Althoff, Natasha Jaques
2025	J	`jnl`	Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian. CoRR Yiran Zhang, Weihang Xu, Mo Zhou, Maryam Fazel, Simon Shaolei Du
2025	A*	`conf`	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. ICML Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques
2025	—	`conf`	Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder. ACL (1) Siting Li, Pang Wei Koh, Simon Shaolei Du
2025	J	`jnl`	Global Convergence of Four-Layer Matrix Factorization under Random Initialization. CoRR Minrui Luo, Weihang Xu, Xiang Gao, Maryam Fazel, Simon Shaolei Du
2025	J	`jnl`	Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval. CoRR Siting Li, Xiang Gao, Simon Shaolei Du
2025	A*	`conf`	Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. CVPR Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	J	`jnl`	LoRe: Personalizing LLMs via Low-Rank Reward Modeling. CoRR Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel
2025	A*	`conf`	Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback. ICML Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang
2025	A	`conf`	Offline Multi-task Transfer RL with Representational Penalization. AISTATS Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2025	J	`jnl`	Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It. CoRR Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov
2025	J	`jnl`	Policy-Based Trajectory Clustering in Offline Reinforcement Learning. CoRR Hao Hu, Xinqi Wang, Simon Shaolei Du
2025	J	`jnl`	RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments. CoRR Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
2025	J	`jnl`	Reinforcement Learning for Reasoning in Large Language Models with One Training Example. CoRR Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Lucas Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025	J	`jnl`	SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters. CoRR Yiping Wang, Hanxian Huang, Yifang Chen, Jishen Zhao, Simon Shaolei Du, Yuandong Tian
2025	J	`jnl`	Spurious Rewards: Rethinking Training Signals in RLVR. CoRR Rulin Shao, Shuyue Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Shaolei Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, Luke Zettlemoyer
2025	A*	`conf`	The Crucial Role of Samplers in Online Direct Preference Optimization. ICLR Ruizhe Shi, Runlong Zhou, Simon Shaolei Du
2025	J	`jnl`	ThetaEvolve: Test-time Learning on Open Problems. CoRR Yiping Wang, Shao-Rong Su, Zhiyuan Zeng, Eva Xu, Liliang Ren, Xinyu Yang, Zeyi Huang, Xuehai He, Luyao Ma, Baolin Peng, Hao Cheng, Pengcheng He, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2024	J	`jnl`	CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. CoRR Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du
2024	J	`jnl`	Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin Jamieson, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking. ICLR Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Shaolei Du, Jason D. Lee, Wei Hu
2024	A*	`conf`	Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. ICLR Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
2024	A*	`conf`	Horizon-Free Regret for Linear Markov Decision Processes. ICLR Zihan Zhang, Jason D. Lee, Yuxin Chen, Simon Shaolei Du
2024	A*	`conf`	How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization. ICLR Nuoya Xiong, Lijun Ding, Simon Shaolei Du
2024	J	`jnl`	Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration. CoRR Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel
2024	J	`jnl`	Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation. CoRR Yiping Wang, Xuehai He, Kuan Wang, Luyao Ma, Jianwei Yang, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2024	A*	`conf`	JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention. ICLR Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Shaolei Du
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2024	J	`jnl`	Offline Multi-task Transfer RL with Representational Penalization. CoRR Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2024	J	`jnl`	On Erroneous Agreements of CLIP Image Embeddings. CoRR Siting Li, Pang Wei Koh, Simon Shaolei Du
2024	A*	`conf`	Rethinking Transformers in Solving POMDPs. ICML Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu
2024	J	`jnl`	Transformers are Efficient Compilers, Provably. CoRR Xiyu Zhai, Runlong Zhou, Liao Zhang, Simon Shaolei Du
2024	A*	`conf`	Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. ICLR Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu
2024	J	`jnl`	Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning. CoRR Yiping Wang, Yifang Chen, Wendan Yan, Kevin Jamieson, Simon Shaolei Du
2023	J	`jnl`	Beyond Information Gain: An Empirical Benchmark for Low-Switching-Cost Reinforcement Learning. Trans. Mach. Learn. Res. Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu
2023	A*	`conf`	Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. ICLR Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao
2023	J	`jnl`	Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. CoRR Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
2023	A*	`conf`	Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes. ICML Runlong Zhou, Ruosong Wang, Simon Shaolei Du
2023	A*	`conf`	Improved Active Multi-Task Representation Learning via Lasso. ICML Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du
2023	J	`jnl`	Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang
2023	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2023	A*	`conf`	Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies. ICLR Rui Yuan, Simon Shaolei Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao
2023	A*	`conf`	Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2023	A*	`conf`	On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du
2023	A*	`conf`	Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments. ICML Runlong Zhou, Zihan Zhang, Simon Shaolei Du
2023	J	`jnl`	Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization. Trans. Mach. Learn. Res. Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du
2023	A*	`conf`	Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing. ICML Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee
2023	A*	`conf`	Variance-Aware Sparse Linear Bandits. ICLR Yan Dai, Ruosong Wang, Simon Shaolei Du
2022	A*	`conf`	A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
2022	A*	`conf`	AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. AAAI Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel A. Ward
2022	A*	`conf`	Provable Adaptation across Multiway Domains via Representation Learning. ICLR Zhili Feng, Shaobo Han, Simon Shaolei Du
2021	J	`jnl`	A Benchmark for Low-Switching-Cost Reinforcement Learning. CoRR Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu
2021	A*	`conf`	Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
2021	A*	`conf`	Few-Shot Learning via Learning the Representation, Provably. ICLR Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei
2021	A*	`conf`	How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks. ICLR Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-ichi Kawarabayashi, Stefanie Jegelka
2021	A*	`conf`	Impact of Representation Learning in Linear Bandits. ICLR Jiaqi Yang, Wei Hu, Jason D. Lee, Simon Shaolei Du
2021	A*	`conf`	Optimism in Reinforcement Learning with Generalized Linear Function Approximation. ICLR Yining Wang, Ruosong Wang, Simon Shaolei Du, Akshay Krishnamurthy
2016	A*	`conf`	An Improved Gap-Dependency Analysis of the Noisy Power Method. COLT Maria-Florina Balcan, Simon Shaolei Du, Yining Wang, Adams Wei Yu
2016	J	`jnl`	Transformation Function Based Methods for Model Shift. CoRR Simon Shaolei Du, Jayanth Koushik, Aarti Singh, Barnabás Póczos