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cs.LG2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
Amitay Bar, Rotem Mulayoff, Tomer Michaeli +1
Langevin dynamics (LD) is widely used for sampling from distributions and for optimization. In this work, we derive a closed-form expression for the expected loss of preconditioned…
cs.LG2020
Option Discovery in the Absence of Rewards with Manifold Analysis
Amitay Bar, Ronen Talmon, Ron Meir
Options have been shown to be an effective tool in reinforcement learning, facilitating improved exploration and learning. In this paper, we present an approach based on spectral g…