Faculty

Institution

Unit

Venue

Wen Sun

Assistant Professor

Cornell University

Affiliations

College of Computing and Information Science

Department of Computer Science

Wen Sun is currently serving as a College Of Computing And Information Science Assistant Professor at Cornell University.

Honors

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Experiences

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Education

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Wen Sun

Cornell University

Assistant Professor

You can click a keyword to filter the displayed items

computer science machine learning reinforcement learning machine learning research artificial intelligence mathematical optimization computational intelligence data science sequential decision making applied mathematics exploration v exploitation deep reinforcement learning robot learning control optimization computational optimization markov decision process learning control online algorithms sequential learning systems engineering stochastic optimization deep learning imitation learning robotics uncertainty quantification action model learning neural network (machine learning) autonomous robots autonomous learning trajectory planning control systems automatic control predictive learning robotics automation approximate reasoning path planning adversarial machine learning nonlinear dynamics trajectory optimization function approximation partial coverage computational statistics bayesian analysis image representation computational learning theory recurrent neural networks statistical learning theory general function approximation intelligent vehicles robot control model optimization sequence modelling multi-agent learning stochastic dynamics object detection algorithmic learning vision language model motion uncertainty recurrent networks action space reinforcement learning problem representation learning system safety distributed robotics 3d object recognition dynamic optimization data-driven prediction visual question answering visual grounding sequential prediction sample complexity witness rank collision avoidance prsbc constraints efficient imitation learning state space intelligent computing applied artificial intelligence

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Rl for Llm Reasoning With Optimal Advantage Regression. arXiv (2025)

Wen Sun

computer scienceinferenceinductive logic programmingllm-based agentmachine learningreinforcement learningartificial intelligenceoptimal advantage regressionmachine learning researchsymbolic machine learningmathematical optimization

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. arXiv (2025)

Wen Sun

exploration v exploitationmachine learninghuman decision processcognitive sciencereinforcement learningdecision theorydeep reinforcement learningdecision sciencebehavioral decision makingsequential decision making

Avoiding Exp(R) Scaling in Rlhf Through Preference-Based Exploration. arXiv (2025)

Wen Sun

computer sciencescaling analysistheoretical computer sciencecomputational optimizationpreference-based explorationapplied mathematicslarge-scale global optimizationmathematical optimization

Convergence of Consistency Model With Multistep Sampling Under General Data Assumptions. ICML (2025)

Wen Sun

statistical inferencestatisticssamplingstatistical methodologysampling (statistics)sampling theoryapplied mathematicsconsistency modelgeneral data assumptionscomputational statistics

Efficient Controllable Diffusion via Optimal Classifier Guidance. arXiv (2025)

Wen Sun

diffusion-based modelingcontrol optimizationmachine learningoptimal classifier guidancedata sciencestochastic diffusion searchdiffusiondiffusion processmathematical optimization

Efficient Imitation Under Misspecification. ICLR (2025)

Wen Sun

computer scienceefficient imitationreward hackingrobot learningreinforcement learningartificial intelligenceimitative learningsequential decision making

Heuristics Considered Harmful: Rl With Random Rewards Should Not Make Llms Reason. blog post (2025)

Wen Sun

computer sciencellm-based agentheuristic (computer science)algorithmic mechanism designreward hackingllms reasontheory of computationsystems engineeringreinforcement learningdecision sciencerandom rewardsheuristic search

New Offline Rlhf Algorithms That Avoid Overoptimization and Achieve Single Policy Coverage Style Guarantees by Regularizing With the Chi-Squared Divergence.. ICLR (2025)

Wen Sun

computer sciencestochastic optimizationchi-squared divergenceregularization (mathematics)machine learningreinforcement learningcontinuous optimizationcomputational optimizationapplied mathematicsoptimization problemsavoid overoptimizationmathematical optimizationcomputational statistics

Q#: Provably Optimal Distributional Rl for Llm Post-Training. arXiv (2025)

Wen Sun

computer sciencestochastic optimizationmachine learningoptimal distributional rlreinforcement learningcomputational optimizationmachine learning researchmathematical optimization

Scaling Offline Rl via Efficient and Expressive Shortcut Models. arXiv (2025)

Wen Sun

computer sciencescalabilityoffline rllarge scale optimizationparallel programming

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Wen Sun

Assistant Professor

Cornell University

Affiliations

College of Computing and Information Science

Department of Computer Science

Wen Sun is currently serving as a College Of Computing And Information Science Assistant Professor at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Wen Sun

Cornell University

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Rl for Llm Reasoning With Optimal Advantage Regression. arXiv (2025)

Wen Sun

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning. arXiv (2025)

Wen Sun

Avoiding Exp(R) Scaling in Rlhf Through Preference-Based Exploration. arXiv (2025)

Wen Sun

computer sciencescaling analysistheoretical computer sciencecomputational optimizationpreference-based explorationapplied mathematicslarge-scale global optimizationmathematical optimization

Convergence of Consistency Model With Multistep Sampling Under General Data Assumptions. ICML (2025)

Wen Sun

statistical inferencestatisticssamplingstatistical methodologysampling (statistics)sampling theoryapplied mathematicsconsistency modelgeneral data assumptionscomputational statistics

Efficient Controllable Diffusion via Optimal Classifier Guidance. arXiv (2025)

Wen Sun

diffusion-based modelingcontrol optimizationmachine learningoptimal classifier guidancedata sciencestochastic diffusion searchdiffusiondiffusion processmathematical optimization

Efficient Imitation Under Misspecification. ICLR (2025)

Wen Sun

computer scienceefficient imitationreward hackingrobot learningreinforcement learningartificial intelligenceimitative learningsequential decision making

Heuristics Considered Harmful: Rl With Random Rewards Should Not Make Llms Reason. blog post (2025)

Wen Sun

New Offline Rlhf Algorithms That Avoid Overoptimization and Achieve Single Policy Coverage Style Guarantees by Regularizing With the Chi-Squared Divergence.. ICLR (2025)

Wen Sun

Q#: Provably Optimal Distributional Rl for Llm Post-Training. arXiv (2025)

Wen Sun

computer sciencestochastic optimizationmachine learningoptimal distributional rlreinforcement learningcomputational optimizationmachine learning researchmathematical optimization

Scaling Offline Rl via Efficient and Expressive Shortcut Models. arXiv (2025)

Wen Sun

computer sciencescalabilityoffline rllarge scale optimizationparallel programming

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10 / page

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