| Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| Sequential experimental design for transductive linear bandits T Fiez, L Jain, KG Jamieson, L Ratliff Advances in Neural Information Processing Systems, 10667-10677, 2019 | 157 | 2019 |
| Next: A system for real-world development, evaluation, and application of active learning KG Jamieson, L Jain, C Fernandez, NJ Glattard, R Nowak Advances in Neural Information Processing Systems, 2656-2664, 2015 | 92 | 2015 |
| Finite sample prediction and recovery bounds for ordinal embedding L Jain, KG Jamieson, R Nowak Advances In Neural Information Processing Systems, 2711-2719, 2016 | 87 | 2016 |
| An empirical process approach to the union bound: Practical algorithms for combinatorial and linear bandits J Katz-Samuels, L Jain, KG Jamieson Advances in Neural Information Processing Systems 33, 2020 | 84 | 2020 |
| Finding All -Good Arms in Stochastic Bandits B Mason, L Jain, A Tripathy, R Nowak Advances in Neural Information Processing Systems 33, 2020 | 61 | 2020 |
| A Bandit Approach to Sequential Experimental Design with False Discovery Control KG Jamieson, L Jain Advances in Neural Information Processing Systems, 3660-3670, 2018 | 60 | 2018 |
| BIG-Bench Extra Hard M Kazemi, B Fatemi, H Bansal, J Palowitch, C Anastasiou, SV Mehta, ... arXiv preprint arXiv:2502.19187, 2025 | 55 | 2025 |
| Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits KS Jun, L Jain, H Nassif, B Mason International Conference on Machine Learning, 5148-5157, 2021 | 48* | 2021 |
| Learning Low-Dimensional Metrics B Mason, L Jain, R Nowak Advances in Neural Information Processing Systems, 4139-4147, 2017 | 44 | 2017 |
| Instance-optimal PAC Algorithms for Contextual Bandits Z Li, L Ratliff, H Nassif, K Jamieson, L Jain arXiv preprint arXiv:2207.02357, 2022 | 36 | 2022 |
| Adaptive Sampling for Coarse Ranking S Katariya, L Jain, N Sengupta, J Evans, R Nowak arXiv preprint arXiv:1802.07176, 2018 | 34 | 2018 |
| Nearly Optimal Algorithms for Level Set Estimation B Mason, R Camilleri, S Mukherjee, K Jamieson, R Nowak, L Jain arXiv preprint arXiv:2111.01768, 2021 | 32 | 2021 |
| Improved Algorithms for Agnostic Pool-based Active Classification J Katz-Samuels, J Zhang, L Jain, K Jamieson arXiv preprint arXiv:2105.06499, 2021 | 32 | 2021 |
| If it ain't broke, don't fix it: Sparse metric repair AC Gilbert, L Jain 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 30 | 2017 |
| Active Learning with Safety Constraints R Camilleri, A Wagenmaker, J Morgenstern, L Jain, K Jamieson arXiv preprint arXiv:2206.11183, 2022 | 28 | 2022 |
| Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models L Jain, Z Li, E Loghmani, B Mason, H Yoganarasimhan Available at SSRN 4438537, 2023 | 19 | 2023 |
| DIRECT: Deep Active Learning under Imbalance and Label Noise S Nuggehalli, J Zhang, L Jain, R Nowak arXiv preprint arXiv:2312.09196, 2023 | 18 | 2023 |
| An Experimental Design Approach for Regret Minimization in Logistic Bandits B Mason, KS Jun, L Jain arXiv preprint arXiv:2202.02407, 2022 | 17 | 2022 |
| Firing bandits: Optimizing crowdfunding L Jain, K Jamieson International Conference on Machine Learning, 2206-2214, 2018 | 17 | 2018 |
Kevin JamiesonAssociate Professor, University of WashingtonVerified email at cs.washington.edu
