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08/18/2023
Geometric characterizations for strong minima with applications to nuclear norm minimization problems
In this paper, we introduce several geometric characterizations for stro...
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08/18/2023
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models
Developing effective Multi-Agent Systems (MAS) is critical for many appl...
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05/11/2023
Stochastic Variance-Reduced Majorization-Minimization Algorithms
We study a class of nonconvex nonsmooth optimization problems in which t...
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11/19/2021
SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience
Computational cognitive modeling is a useful methodology to explore and ...
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07/09/2021
Block Alternating Bregman Majorization Minimization with Extrapolation
In this paper, we consider a class of nonsmooth nonconvex optimization p...
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02/10/2021
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization
In this paper, we propose an algorithmic framework dubbed inertial alter...
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10/23/2020
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
In this paper, we introduce TITAN, a novel inerTial block majorIzation m...
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11/10/2019
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression
We consider the large sum of DC (Difference of Convex) functions minimiz...
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06/25/2018