Sherry Yang

Affiliations:
  • Google DeepMind
  • University of California, Berkeley, CA, USA (PhD)


According to our database1, Sherry Yang authored at least 34 papers between 2018 and 2024.

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Bibliography

2024
Generative Hierarchical Materials Search.
CoRR, 2024

UQE: A Query Engine for Unstructured Databases.
CoRR, 2024

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF.
CoRR, 2024

Video as the New Language for Real-World Decision Making.
CoRR, 2024

Position: Video as the New Language for Real-World Decision Making.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Code as Reward: Empowering Reinforcement Learning with VLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Interactive Real-World Simulators.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Probabilistic Adaptation of Black-Box Text-to-Video Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scalable Diffusion for Materials Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Video Language Planning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Learning Interactive Real-World Simulators.
CoRR, 2023

Probabilistic Adaptation of Text-to-Video Models.
CoRR, 2023

Foundation Models for Decision Making: Problems, Methods, and Opportunities.
CoRR, 2023

Learning Universal Policies via Text-Guided Video Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets.
Proceedings of the International Conference on Machine Learning, 2023

Dichotomy of Control: Separating What You Can Control from What You Cannot.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Offline RL for Natural Language Generation with Implicit Language Q Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Chain of Thought Imitation with Procedure Cloning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Game Decision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Context-Aware Language Modeling for Goal-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Making Linear MDPs Practical via Contrastive Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization.
Proceedings of the International Conference on Machine Learning, 2022

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Offline Policy Selection under Uncertainty.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Combiner: Full Attention Transformer with Sparse Computation Cost.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Provable Representation Learning for Imitation with Contrastive Fourier Features.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Representation Matters: Offline Pretraining for Sequential Decision Making.
Proceedings of the 38th International Conference on Machine Learning, 2021

Benchmarks for Deep Off-Policy Evaluation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Off-Policy Evaluation via the Regularized Lagrangian.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Energy-Based Processes for Exchangeable Data.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
GraphIt: a high-performance graph DSL.
Proc. ACM Program. Lang., 2018

GraphIt - A High-Performance DSL for Graph Analytics.
CoRR, 2018


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