2 citations · 5 across the 11 of their papers we have counts for
5 papers · 1 filter
BLADE: Bilevel Low-rank Augmented-Lagrangian Erasure for LLM Unlearning
Md Toufikuzzaman, Ahmad Mousavi, Dongwon Lee
Existing LLM unlearning methods struggle with robustness: unbounded forget losses degrade model coherence, fixed-weight balancing cannot adapt as retain difficulty shifts mid-train…
L0-Regularized Quadratic Surface Support Vector Machines
Ahmad Mousavi, Ramin Zandvakili, Zheming Gao
Kernel-free quadratic surface support vector machines (QSVM) have recently gained traction due to their flexibility in modeling nonlinear decision boundaries without relying on ker…
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data
Hossein Moosaei, Milan Hladík, Ahmad Mousavi +2
Binary classification tasks with imbalanced classes pose significant challenges in machine learning. Traditional classifiers often struggle to accurately capture the characteristic…
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari, Ahmad Mousavi, Davoud Ataee Tarzanagh +1
Bilevel programming has recently received attention in the literature due to its wide range of applications, including reinforcement learning and hyper-parameter optimization. Howe…
Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification
Hossein Moosaei, Ahmad Mousavi, Milan Hladík +1
In binary classification, kernel-free linear or quadratic support vector machines are proposed to avoid dealing with difficulties such as finding appropriate kernel functions or tu…