21 citations · 53 across the 9 of their papers we have counts for
9 papers
Persistent Reductions in Regularized Loss Minimization for Variable Selection
Amin Jalali
In the context of regularized loss minimization with polyhedral gauges, we show that for a broad class of loss functions (possibly non-smooth and non-convex) and under a simple geo…
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation
Amin Jalali, Adel Javanmard, Maryam Fazel
Prior knowledge on properties of a target model often come as discrete or combinatorial descriptions. This work provides a unified computational framework for defining norms that p…
A New Algorithm for Improved Blind Detection of Polar Coded PDCCH in 5G New Radio
Amin Jalali, Zhi Ding
In recent release of the new cellular standard known as 5G New Radio (5G-NR), the physical downlink control channel (PDCCH) has adopted polar codes for error protection. Similar to…
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei, Amin Jalali
We provide a framework to approximate the 2-Wasserstein distance and the optimal transport map, amenable to efficient training as well as statistical and geometric analysis. With t…
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes
Amin Jalali, Rebecca Willett
High-dimensional time series data exist in numerous areas such as finance, genomics, healthcare, and neuroscience. An unavoidable aspect of all such datasets is missing data, and d…
Subspace Clustering with Missing and Corrupted Data
Zachary Charles, Amin Jalali, Rebecca Willett
Given full or partial information about a collection of points that lie close to a union of several subspaces, subspace clustering refers to the process of clustering the points ac…
Relative Density and Exact Recovery in Heterogeneous Stochastic Block Models
Amin Jalali, Qiyang Han, Ioana Dumitriu +1
The Stochastic Block Model (SBM) is a widely used random graph model for networks with communities. Despite the recent burst of interest in recovering communities in the SBM from s…
Variational Gram Functions: Convex Analysis and Optimization
Amin Jalali, Maryam Fazel, Lin Xiao
We propose a new class of convex penalty functions, called \emph{variational Gram functions} (VGFs), that can promote pairwise relations, such as orthogonality, among a set of vect…
Simultaneously Structured Models with Application to Sparse and Low-rank Matrices
Samet Oymak, Amin Jalali, Maryam Fazel +2
The topic of recovery of a structured model given a small number of linear observations has been well-studied in recent years. Examples include recovering sparse or group-sparse ve…