5 papers
Improved Multiplayer Bandit Algorithm for Bernoulli Rewards
Khang Nguyen, Ricardo Parada, William Chang
We study the multiplayer multi-armed bandit problem with information asymmetry under Bernoulli rewards, for three information structures: asymmetry in actions, in rewards, and in b…
Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry
Daphne Feng, Ricardo Parada, Lily Jiang +2
The multi-armed bandit problem is a central framework in sequential decision-making, extensively studied under sub-Gaussian reward assumptions. However, real-world applications oft…
Coordinating the Unknown Lipschitz Constant in Multiplayer Bandits
Ricardo Parada, Chenzhang Zhao, William Chang
Motivated by decentralized applications, we study cooperative multi-agent bandits in continuous (Lipschitz) action spaces when the Lipschitz constant is unknown. We consider three…
Accelerating Low-Frequency Convergence for Limited-Angle DBT via Two-Channel Fidelity in PDHG
Taro Iyadomi, Ricardo Parada, Anna Kim +3
Reconstruction in limited-angle digital breast tomosynthesis (DBT) suffers from slow convergence of low spatial-frequency components when using weighted data-fidelity terms within…
Fast Partial Fourier Transforms for Large-Scale Ptychography
Ricardo Parada, Samy Wu Fung, Stanley Osher
Ptychography is a popular imaging technique that combines diffractive imaging with scanning microscopy. The technique consists of a coherent beam that is scanned across an object i…