Finding fair and efficient allocations S Barman, SK Krishnamurthy, R Vaish Proceedings of the 2018 ACM Conference on Economics and Computation, 557-574, 2018 | 242 | 2018 |
Approximation algorithms for maximin fair division S Barman, SK Krishnamurthy ACM Transactions on Economics and Computation (TEAC) 8 (1), 1-28, 2020 | 175 | 2020 |
Greedy algorithms for maximizing Nash social welfare S Barman, SK Krishnamurthy, R Vaish arXiv preprint arXiv:1801.09046, 2018 | 79 | 2018 |
Groupwise maximin fair allocation of indivisible goods S Barman, A Biswas, S Krishnamurthy, Y Narahari Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 73 | 2018 |
On the proximity of markets with integral equilibria S Barman, SK Krishnamurthy Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1748-1755, 2019 | 58 | 2019 |
Adapting to misspecification in contextual bandits with offline regression oracles SK Krishnamurthy, V Hadad, S Athey International Conference on Machine Learning, 5805-5814, 2021 | 23 | 2021 |
Tractable contextual bandits beyond realizability SK Krishnamurthy, V Hadad, S Athey International Conference on Artificial Intelligence and Statistics, 1423-1431, 2021 | 13 | 2021 |
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective SK Krishnamurthy, A Margaret Propp, S Athey International Conference on Artificial Intelligence and Statistics, 2476-2484, 2024 | 12* | 2024 |
Contextual bandits in a survey experiment on charitable giving: Within-experiment outcomes versus policy learning S Athey, U Byambadalai, V Hadad, SK Krishnamurthy, W Leung, ... arXiv preprint arXiv:2211.12004, 2022 | 9 | 2022 |
Flexible and efficient contextual bandits with heterogeneous treatment effect oracles AG Carranza, SK Krishnamurthy, S Athey International Conference on Artificial Intelligence and Statistics, 7190-7212, 2023 | 8 | 2023 |
Survey bandits with regret guarantees SK Krishnamurthy, S Athey arXiv preprint arXiv:2002.09814, 2020 | 4 | 2020 |
Proportional response: Contextual bandits for simple and cumulative regret minimization SK Krishnamurthy, R Zhan, S Athey, E Brunskill Advances in Neural Information Processing Systems 36, 30255-30266, 2023 | 3 | 2023 |
Data-driven Error Estimation: Upper Bounding Multiple Errors with No Technical Debt SK Krishnamurthy, S Athey, E Brunskill arXiv preprint arXiv:2405.04636, 2024 | | 2024 |
Selective Uncertainty Propagation in Offline RL SK Krishnamurthy, T Gangwani, S Katariya, B Kveton, A Rangi arXiv preprint arXiv:2302.00284, 2023 | | 2023 |