| 2026 | COLT | On the Power of Adaptivity for ε-Best Arm Identification in Linear Bandits. | Arnab Maiti, Yunbei Xu, Kevin Jamieson |
| 2026 | COLT | On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits. | Leo Maynard-Zhang, Zhihan Xiong, Kevin Jamieson, Maryam Fazel |
| 2025 | COLT | Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries. | Arnab Maiti, Zhiyuan Fan, Kevin Jamieson, Lillian J. Ratliff, Gabriele Farina |
| 2025 | ICML | Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals. | Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff |
| 2025 | SAGT | On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games Under Noisy Feedback. | Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff |
| 2024 | ACL | An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. | Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak |
| 2024 | AISTATS | Optimal Exploration is no harder than Thompson Sampling. | Zhaoqi Li, Kevin Jamieson, Lalit Jain |
| 2024 | AISTATS | Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits. | Arnab Maiti, Ross Boczar, Kevin Jamieson, Lillian J. Ratliff |
| 2024 | AISTATS | 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 | UAI | Fair Active Learning in Low-Data Regimes. | Romain Camilleri, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson |
| 2023 | AISTATS | Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games. | Arnab Maiti, Kevin Jamieson, Lillian J. Ratliff |
| 2023 | ICML | Improved Active Multi-Task Representation Learning via Lasso. | Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du |
| 2022 | AISTATS | Nearly Optimal Algorithms for Level Set Estimation. | Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak |
| 2022 | AISTATS | Best Arm Identification with Safety Constraints. | Zhenlin Wang, Andrew J. Wagenmaker, Kevin Jamieson |
| 2022 | COLT | Beyond No Regret: Instance-Dependent PAC Reinforcement Learning. | Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson |
| 2022 | ICML | Active Multi-Task Representation Learning. | Yifang Chen, Kevin Jamieson, Simon S. Du |
| 2022 | ICML | First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2022 | ICML | Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. | Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson |
| 2022 | RecSys | Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy. | Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed A. Aslam |
| 2021 | AISTATS | Experimental Design for Regret Minimization in Linear Bandits. | Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson |
| 2021 | ICML | High-dimensional Experimental Design and Kernel Bandits. | Romain Camilleri, Kevin Jamieson, Julian Katz-Samuels |
| 2021 | ICML | Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. | Yifang Chen, Simon S. Du, Kevin Jamieson |
| 2021 | ICML | Improved Algorithms for Agnostic Pool-based Active Classification. | Julian Katz-Samuels, Jifan Zhang, Lalit Jain, Kevin Jamieson |
| 2021 | ICML | Task-Optimal Exploration in Linear Dynamical Systems. | Andrew J. Wagenmaker, Max Simchowitz, Kevin Jamieson |
| 2021 | ICRA | Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding. | Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa |
| 2020 | AISTATS | The True Sample Complexity of Identifying Good Arms. | Julian Katz-Samuels, Kevin Jamieson |
| 2020 | CIDR | Mosaic: A Sample-Based Database System for Open World Query Processing. | Laurel J. Orr, Samuel K. Ainsworth, Kevin Jamieson, Walter Cai, Magdalena Balazinska, Dan Suciu |
| 2020 | COLT | Active Learning for Identification of Linear Dynamical Systems. | Andrew Wagenmaker, Kevin Jamieson |
| 2020 | ICML | Estimating the Number and Effect Sizes of Non-null Hypotheses. | Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson |
| 2018 | ICML | Firing Bandits: Optimizing Crowdfunding. | Lalit Jain, Kevin Jamieson |
| 2017 | COLT | The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime. | Max Simchowitz, Kevin Jamieson, Benjamin Recht |
| 2017 | ICLR | Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization. | Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar |
| 2017 | ICRA | Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations. | Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca D. Dragan, Ken Goldberg |
| 2016 | AISTATS | Non-stochastic Best Arm Identification and Hyperparameter Optimization. | Kevin Jamieson, Ameet Talwalkar |
| 2016 | AISTATS | Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls. | Kwang-Sung Jun, Kevin Jamieson, Robert D. Nowak, Xiaojin Zhu |
| 2016 | COLT | Best-of-K-bandits. | Max Simchowitz, Kevin Jamieson, Benjamin Recht |
| 2015 | AISTATS | Sparse Dueling Bandits. | Kevin Jamieson, Sumeet Katariya, Atul Deshpande, Robert D. Nowak |
| 2014 | CISS | Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting. | Kevin Jamieson, Robert D. Nowak |
| 2014 | COLT | lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits. | Kevin Jamieson, Matthew Malloy, Robert D. Nowak, Sbastien Bubeck |
| 2014 | FAST | Strata: scalable high-performance storage on virtualized non-volatile memory. | Brendan Cully, Jake Wires, Dutch T. Meyer, Kevin Jamieson, Keir Fraser, Tim Deegan, Daniel Stodden, Geoffrey Lefebvre, Daniel Ferstay, Andrew Warfield |
| 2010 | ICASSP | Training a support vector machine to classify signals in a real environment given clean training data. | Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson |