Kevin Jamieson
University of Washington
H-index: 27
North America-United States
Top articles of Kevin Jamieson
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Labelbench: A comprehensive framework for benchmarking adaptive label-efficient learning | Jifan Zhang Yifang Chen Gregory Canal Arnav Mohanty Das Gantavya Bhatt | 2023/12/22 | |
Optimal exploration for model-based rl in nonlinear systems | Neural Information Processing Systems (NeurIPS) | Andrew Wagenmaker Guanya Shi Kevin Jamieson | 2023 |
Active representation learning for general task space with applications in robotics | Neural Information Processing Systems (NeurIPS) | Yifang Chen Yingbing Huang Simon S Du Kevin Jamieson Guanya Shi | 2023 |
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits | Arnab Maiti Ross Boczar Kevin Jamieson Lillian Ratliff | 2024/4/18 | |
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning | arXiv preprint arXiv:2402.02055 | Yiping Wang Yifang Chen Wendan Yan Kevin Jamieson Simon Shaolei Du | 2024/2/3 |
Optimal Exploration is no harder than Thompson Sampling | arXiv preprint arXiv:2310.06069 | Zhaoqi Li Kevin Jamieson Lalit Jain | 2023/10/9 |
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity | Zhihan Xiong Romain Camilleri Maryam Fazel Lalit Jain Kevin Jamieson | 2024/4/18 | |
An experimental design framework for label-efficient supervised finetuning of large language models | arXiv preprint arXiv:2401.06692 | Gantavya Bhatt* Yifang Chen* Arnav M Das* Jifan Zhang* Sang T Truong | 2024/1/12 |
Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback | arXiv preprint arXiv:2306.13233 | Arnab Maiti Kevin Jamieson Lillian J Ratliff | 2023/6/22 |
Fair Active Learning in Low-Data Regimes | arXiv preprint arXiv:2312.08559 | Romain Camilleri Andrew Wagenmaker Jamie Morgenstern Lalit Jain Kevin Jamieson | 2023/12/13 |
Large-scale package manipulation via learned metrics of pick success | arXiv preprint arXiv:2305.10272 | Shuai Li Azarakhsh Keipour Kevin Jamieson Nicolas Hudson Charles Swan | 2023/5/17 |
Minimax Optimal Submodular Optimization with Bandit Feedback | arXiv preprint arXiv:2310.18465 | Artin Tajdini Lalit Jain Kevin Jamieson | 2023/10/27 |
Instance-dependent sample complexity bounds for zero-sum matrix games | Arnab Maiti Kevin Jamieson Lillian Ratliff | 2023/4/11 | |
Query-Efficient Algorithms to Find the Unique Nash Equilibrium in a Two-Player Zero-Sum Matrix Game | arXiv preprint arXiv:2310.16236 | Arnab Maiti Ross Boczar Kevin Jamieson Lillian J Ratliff | 2023/10/24 |
Demonstrating large-scale package manipulation via learned metrics of pick success | Shuai Li Azarakhsh Keipour Kevin Jamieson Nicolas Hudson Charles Swan | 2023/7/9 | |
Pick Planning Strategies for Large-Scale Package Manipulation | Shuai Li Azarakhsh Keipour Kevin Jamieson Nicolas Hudson Sicong Zhao | 2023/10/5 | |
Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely-Armed Bandit Strategy | ACM Transactions on Recommender Systems | Maryam Aziz Jesse Anderton Kevin Jamieson Alice Wang Hugues Bouchard | 2023 |
Improved active multi-task representation learning via lasso | Yiping Wang Yifang Chen Kevin Jamieson Simon Shaolei Du | 2023/7/3 | |
Instance-dependent near-optimal policy identification in linear mdps via online experiment design | Advances in Neural Information Processing Systems | Andrew Wagenmaker Kevin G Jamieson | 2022/12/6 |
Active multi-task representation learning | Yifang Chen Kevin Jamieson Simon Du | 2022/6/28 |
Co-Authors
