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Bhuvesh Kumar
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2020 – today
- 2023
- [b1]Bhuvesh Kumar:
Sequential Decision Making with Strategic Agents and Limited Feedback. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j1]Yeojoon Youn, Bhuvesh Kumar, Jacob D. Abernethy:
Accelerated Federated Optimization with Quantization. IEEE Data Eng. Bull. 46(1): 79-123 (2023) - [i2]Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy:
On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms. CoRR abs/2307.07675 (2023) - 2022
- [c3]Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama:
ActiveHedge: Hedge meets Active Learning. ICML 2022: 11694-11709 - [i1]Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers:
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets. CoRR abs/2202.05881 (2022) - 2021
- [c2]Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy:
Observation-Free Attacks on Stochastic Bandits. NeurIPS 2021: 22550-22561
2010 – 2019
- 2019
- [c1]Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar, Sam Taggart, Jamie Morgenstern:
Learning Auctions with Robust Incentive Guarantees. NeurIPS 2019: 11587-11597
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last updated on 2024-04-24 23:18 CEST by the dblp team
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