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Shoham Sabach

Learning the Target Network in Function Space

Jun 03, 2024
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MADA: Meta-Adaptive Optimizers through hyper-gradient Descent

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Jan 17, 2024
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Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate

Jan 05, 2024
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TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

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Oct 09, 2023
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Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function

Jul 17, 2023
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TD Convergence: An Optimization Perspective

Jun 30, 2023
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Resetting the Optimizer in Deep RL: An Empirical Study

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Jun 30, 2023
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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization

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Apr 06, 2019
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Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems

Feb 15, 2018
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