5 citations · 7 across the 18 of their papers we have counts for
4 papers · 1 filter
Multi-Armed Sampling Problem and the End of Exploration
Mohammad Pedramfar, Siamak Ravanbakhsh
This paper introduces the framework of multi-armed sampling, which serves as the sampling counterpart to the optimization problem of multi-armed bandits. Our primary motivation is…
Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
Vineet Jain, Kusha Sareen, Mohammad Pedramfar +1
Adapting a pretrained diffusion model to new objectives at inference time remains an open problem in generative modeling. Existing steering methods suffer from inaccurate value est…
BAGEL: Adversarially Constrained Online Convex Optimization under Separation Oracle Access
Yiyang Lu, Mohammad Pedramfar, Mengbo Wang +1
In adversarial Constrained Online Convex Optimization (COCO), a learner selects actions from a fixed convex set while seeking both low regret and low cumulative constraint violatio…
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal
We introduce a novel framework for decentralized projection-free optimization, extending projection-free methods to a broader class of upper-linearizable functions. Our approach le…