2 citations · 5 across the 11 of their papers we have counts for
13 papers
A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi--Newton update with application to a revised robust binary classification model
Saman Babaie-Kafaki, Maryam Khoshsimaye-Bargard, Ahmad Mousavi
We develop a spectral three-term modification of the classic Hestenes--Stiefel conjugate gradient algorithm, preserving its anti-jamming characteristic and, simultaneously, taking…
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…
The Rank-Collapse Principle for Quadratic Optimization
Mojtaba Soltanalian, Ahmad Mousavi
Quadratic optimization becomes hard as soon as either the matrix in the quadratic form has an unfavorable curvature or the feasible set is discrete, combinatorial, or otherwise non…
MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection
Yeganeh Abdollahinejad, Ahmad Mousavi, Naeemul Hassan +4
The widespread dissemination of multimodal content on social media has made misinformation detection increasingly challenging, as misleading narratives often arise not only from te…
An efficient penalty decomposition algorithm for minimization over sparse symmetric sets
Ahmad Mousavi, Morteza Kimiaei, Saman Babaie-Kafaki +1
This paper proposes an improved quasi-Newton penalty decomposition algorithm for the minimization of continuously differentiable functions, possibly nonconvex, over sparse symmetri…
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…
Enigma: Application-Layer Privacy for Quantum Optimization on Untrusted Computers
Ramin Ayanzadeh, Ahmad Mousavi, Amirhossein Basareh +2
The Early Fault-Tolerant (EFT) era is emerging, where modest Quantum Error Correction (QEC) can enable quantum utility before full-scale fault tolerance. Quantum optimization is a…
Cardinality Constrained Mean-Variance Portfolios: A Penalty Decomposition Algorithm
Ahmad Mousavi, George Michailidis
The cardinality-constrained mean-variance portfolio problem has garnered significant attention within contemporary finance due to its potential for achieving low risk while effecti…
Statistical Proxy based Mean-Reverting Portfolios with Sparsity and Volatility Constraints
Ahmad Mousavi, George Michailidis
Mean-reverting portfolios with volatility and sparsity constraints are of prime interest to practitioners in finance since they are both profitable and well-diversified, while also…
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…
Density Estimation using Entropy Maximization for Semi-continuous Data
Sai K. Popuri, Nagaraj K. Neerchal, Amita Mehta +1
Semi-continuous data comes from a distribution that is a mixture of the point mass at zero and a continuous distribution with support on the positive real line. A clear example is…