Simon S Du
39 papers · 2016–2024 · 2 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Simon S Du?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Qiwen Cui, Simon S. Du, Maryam Fazel
12 papers
· 2021–2024
· NeurIPS
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Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
NeurIPS 2024
Learning to Cooperate with Humans using Generative Agents
NeurIPS 2024
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
NeurIPS 2024
Understanding the Gains from Repeated Self-Distillation
NeurIPS 2024
Active representation learning for general task space with applications in robotics
NeurIPS 2023
Learning in Congestion Games with Bandit Feedback
NeurIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
On Gap-dependent Bounds for Offline Reinforcement Learning
NeurIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
NeurIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable?
NeurIPS 2022
Corruption Robust Active Learning
NeurIPS 2021
7 papers whose co-authors appear nowhere else under this name
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
NeurIPS 2023
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
NeurIPS 2023
Provable General Function Class Representation Learning in Multitask Bandits and MDP
NeurIPS 2022
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
NeurIPS 2021
Nearly Horizon-Free Offline Reinforcement Learning
NeurIPS 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
NeurIPS 2021
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NeurIPS 2019