| Learning auctions with robust incentive guarantees JD Abernethy, R Cummings, B Kumar, S Taggart, JH Morgenstern Advances in neural information processing systems 32, 2019 | 24 | 2019 |
| Observation-free attacks on stochastic bandits Y Xu, B Kumar, JD Abernethy Advances in Neural Information Processing Systems 34, 22550-22561, 2021 | 9 | 2021 |
| Optimal spend rate estimation and pacing for ad campaigns with budgets B Kumar, J Morgenstern, O Schrijvers arXiv preprint arXiv:2202.05881, 2022 | 6 | 2022 |
| On the robustness of epoch-greedy in multi-agent contextual bandit mechanisms Y Xu, B Kumar, J Abernethy arXiv preprint arXiv:2307.07675, 2023 | 2 | 2023 |
| Accelerated federated optimization with quantization Y Youn, B Kumar, J Abernethy Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 2 | 2022 |
| Activehedge: Hedge meets active learning B Kumar, JD Abernethy, V Saligrama International Conference on Machine Learning, 11694-11709, 2022 | 2 | 2022 |
| Bridging Truthfulness and Corruption-Robustness in Multi-Armed Bandit Mechanisms J Abernethy, B Kumar, L Thodoris, Y Xu Incentives in Machine Learning, ICML, 2020 | 1 | 2020 |
| Sequential Decision Making with Strategic Agents and Limited Feedback B Kumar Georgia Institute of Technology, 2022 | | 2022 |
| Active hedge: hedge meets active learning V Saligrama, B Kumar, J Abernathy International Conference on Machine Learning, 2022 | | 2022 |
| Learning Auctions with Incentive Guarantees J Abernethy, R Cummings, B Kumar, J Morgenstern, S Taggart Learning in the Presence of Strategic Behavior, EC, 2019 | | 2019 |
Jacob AbernethyAssistant Professor, University of Michigan確認したメール アドレス: umich.edu
