Laura Balzano
Scholar

Laura Balzano

Google Scholar ID: X6fRNfUAAAAJ
University of Michigan, Ann Arbor
matrix factorizationmatrix completionmanifold optimizationnonconvex optimization
Citations & Impact
All-time
Citations
2,451
 
H-index
26
 
i10-index
59
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • 1. Published a paper titled 'MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention', which presents a new approach that uses the Monarch matrix structure along with variational softmax to quickly and accurately approximate softmax attention in a zero-shot setting.
  • 2. Published a paper titled 'Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective', providing theoretical results on the capabilities of attention for in-context learning.
  • 3. The paper 'A Semidefinite Relaxation for Sums of Heterogeneous Quadratic Forms on the Stiefel Manifold' was published in the SIAM Journal on Matrix Analysis and Applications.
Research Experience
  • Leads the SPADA lab, focusing on research projects in statistical signal processing, matrix factorization, and optimization.
Education
  • No specific educational background information provided.
Background
  • Associate Professor of Electrical Engineering and Computer Science, Associate Chair for Undergraduate Affairs in the Division of Electrical and Computer Engineering, and an Associate Professor of Statistics by courtesy. IEEE University of Michigan Student Branch Counselor. Leads the Signal Processing Algorithm Design and Analysis (SPADA) lab. Her research focuses on statistical signal processing, matrix factorization, and optimization, particularly dealing with large and messy data. Her interests are theoretical, but her favorite mathematical problems are motivated by fascinating and important engineering problems.
Miscellany
  • No additional personal interests or hobbies provided.