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Publication search results
found 10 matches
- 2024
- Peng Wei, Kaiming Fu, Juan Villacrés, Thomas Ke, Kay Krachenfels, Curtis Ryan Stofer, Nima Bayati, Qikai Gao, Bill Zhang, Eric Vanacker, Zhaodan Kong:
A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping. Sensors 24(8): 2494 (2024) - 2023
- Nima Hamidi, Mohsen Bayati:
Technical Note - The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling. Oper. Res. 71(4): 1434-1439 (2023) - 2022
- Nima Hamidi, Mohsen Bayati:
On Low-rank Trace Regression under General Sampling Distribution. J. Mach. Learn. Res. 23: 321:1-321:49 (2022) - 2021
- Nima Hamidi, Mohsen Bayati:
The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling. CoRR abs/2102.07987 (2021) - 2020
- Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi:
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms. NeurIPS 2020 - Nima Hamidi, Mohsen Bayati:
A General Framework to Analyze Stochastic Linear Bandit. CoRR abs/2002.05152 (2020) - Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi:
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. CoRR abs/2002.10121 (2020) - Nima Hamidi, Mohsen Bayati:
On Worst-case Regret of Linear Thompson Sampling. CoRR abs/2006.06790 (2020) - 2019
- Nima Hamidi, Mohsen Bayati, Kapil Gupta:
Personalizing Many Decisions with High-Dimensional Covariates. NeurIPS 2019: 11469-11480 - Nima Hamidi, Mohsen Bayati:
On Low-rank Trace Regression under General Sampling Distribution. CoRR abs/1904.08576 (2019)
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