Laura Balzano

Orcid: 0000-0003-2914-123X

Affiliations:
  • University of Michigan, Ann Arbor


According to our database1, Laura Balzano authored at least 92 papers between 2002 and 2024.

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Bibliography

2024
Optimality of POD for Data-Driven LQR With Low-Rank Structures.
IEEE Control. Syst. Lett., 2024

2023
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data.
SIAM J. Math. Data Sci., March, 2023

Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics.
CoRR, 2023

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination.
CoRR, 2023

Learning physics-based reduced-order models from data using nonlinear manifolds.
CoRR, 2023

The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks.
CoRR, 2023

Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2023

HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Manifold Optimization for Data Driven Reduced-Order Modeling<sup>*</sup>.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD.
IEEE Trans. Signal Process., 2022

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.
CoRR, 2022

Mode Reduction for Markov Jump Systems.
CoRR, 2022

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Clustering-based Mode Reduction for Markov Jump Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Truncated Matrix Completion - An Empirical Study.
Proceedings of the 30th European Signal Processing Conference, 2022

Certainty Equivalent Quadratic Control for Markov Jump Systems.
Proceedings of the American Control Conference, 2022

Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds.
Proceedings of the American Control Conference, 2022

On the equivalence of Oja's algorithm and GROUSE.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise.
IEEE Trans. Signal Process., 2021

Tensor Methods for Nonlinear Matrix Completion.
SIAM J. Math. Data Sci., 2021

Fair Structure Learning in Heterogeneous Graphical Models.
CoRR, 2021

Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds.
CoRR, 2021

2020
Clustering quality metrics for subspace clustering.
Pattern Recognit., 2020

Supervised PCA: A Multiobjective Approach.
CoRR, 2020

Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra.
CoRR, 2020

Preference Modeling with Context-Dependent Salient Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

Online Tensor Completion and Free Submodule Tracking With The T-SVD.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Streaming Principal Component Analysis From Incomplete Data.
J. Mach. Learn. Res., 2019

Online matrix factorization for Markovian data and applications to Network Dictionary Learning.
CoRR, 2019

Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Exploration of tensor decomposition applied to commercial building baseline estimation.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Supervised Principal Component Analysis Via Manifold Optimization.
Proceedings of the IEEE Data Science Workshop, 2019

Probabilistic PCA for Heteroscedastic Data.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Mode Clustering for Markov Jump Systems.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Streaming PCA and Subspace Tracking: The Missing Data Case.
Proc. IEEE, 2018

Asymptotic performance of PCA for high-dimensional heteroscedastic data.
J. Multivar. Anal., 2018

Improving K-Subspaces via Coherence Pursuit.
IEEE J. Sel. Top. Signal Process., 2018

A Robust Algorithm for Online Switched System Identification.
CoRR, 2018

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Online Estimation of Coherent Subspaces with Adaptive Sampling.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

The Landscape of Non-Convex Quadratic Feasibility.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Dictionary-Based Unions of Subspaces for Image Denoising.
Proceedings of the 26th European Signal Processing Conference, 2018

Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017
Distance-Penalized Active Learning Using Quantile Search.
IEEE Trans. Signal Process., 2017

What to Expect When You Are Expecting on the Grassmannian.
IEEE Signal Process. Lett., 2017

Deep Unsupervised Clustering Using Mixture of Autoencoders.
CoRR, 2017

Subspace Clustering using Ensembles of $K$-Subspaces.
CoRR, 2017

Algebraic Variety Models for High-Rank Matrix Completion.
Proceedings of the 34th International Conference on Machine Learning, 2017

Leveraging Union of Subspace Structure to Improve Constrained Clustering.
Proceedings of the 34th International Conference on Machine Learning, 2017

Matched subspace detection using compressively sampled data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online dynamic MRI reconstruction via robust subspace tracking.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Low algebraic dimension matrix completion.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Enhanced online subspace estimation via adaptive sensing.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

On Learning High Dimensional Structured Single Index Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Online algorithms for factorization-based structure from motion.
Comput. Vis. Image Underst., 2016

Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data.
CoRR, 2016

SNIPE for Memory-Limited PCA From Incomplete Data.
CoRR, 2016

Group-sparse subspace clustering with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Online sparse and orthogonal subspace estimation from partial information.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Necessary and sufficient conditions for sketched subspace clustering.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Towards a theoretical analysis of PCA for heteroscedastic data.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Local Convergence of an Algorithm for Subspace Identification from Partial Data.
Found. Comput. Math., 2015

Matrix Completion Under Monotonic Single Index Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Margin-based active subspace clustering.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Quantile search: A distance-penalized active learning algorithm for spatial sampling.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Inferring the behavior of distributed energy resources with online learning.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Iterative Grassmannian optimization for robust image alignment.
Image Vis. Comput., 2014

On the sample complexity of subspace clustering with missing data.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust blind calibration via total least squares.
Proceedings of the IEEE International Conference on Acoustics, 2014

Online completion of Ill-conditioned low-rank matrices.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
Iterative online subspace learning for robust image alignment.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

On GROUSE and incremental SVD.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Rank Minimization Over Finite Fields: Fundamental Limits and Coding-Theoretic Interpretations.
IEEE Trans. Inf. Theory, 2012

High-Rank Matrix Completion.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

K-subspaces with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
High-Rank Matrix Completion and Subspace Clustering with Missing Data
CoRR, 2011

Online Robust Subspace Tracking from Partial Information
CoRR, 2011

Rank minimization over finite fields.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

On the success of network inference using a markov routing model.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
High-dimensional Matched Subspace Detection when data are missing.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Online identification and tracking of subspaces from highly incomplete information.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Sensor network data fault types.
ACM Trans. Sens. Networks, 2009

2008
Reputation-based framework for high integrity sensor networks.
ACM Trans. Sens. Networks, 2008

2007
Blind calibration of sensor networks.
Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

2006
Designing Wireless Sensor Networks as a Shared Resource for Sustainable Development.
Proceedings of the 2006 International Conference on Information and Communication Technologies and Development, 2006

2004
Design, analysis, and implementation of DVSR: a fair high-performance protocol for packet rings.
IEEE/ACM Trans. Netw., 2004

2002
DVSR: a high-performance metro ring protocol.
Comput. Commun. Rev., 2002


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