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07/17/2023
Convex Bi-Level Optimization Problems with Non-smooth Outer Objective Function
In this paper, we propose the Bi-Sub-Gradient (Bi-SG) method, which is a...
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06/30/2023
Resetting the Optimizer in Deep RL: An Empirical Study
We focus on the task of approximating the optimal value function in deep...
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06/30/2023
TD Convergence: An Optimization Perspective
We study the convergence behavior of the celebrated temporal-difference ...
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10/27/2020
Faster Lagrangian-Based Methods in Convex Optimization
In this paper, we aim at unifying, simplifying, and improving the conver...
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10/14/2020
Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem
We propose an algorithm for the Wireless Sensor Network localization pro...
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04/06/2019
Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
Backtracking line-search is an old yet powerful strategy for finding bet...
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02/15/2018
Fast Generalized Conditional Gradient Method with Applications to Matrix Recovery Problems
Motivated by matrix recovery problems such as Robust Principal Component...
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06/20/2017