Laura Balzano

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 80

Top Venues

Publications

Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS (2024)
Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano
Symmetric Matrix Completion with ReLU Sampling. CoRR (2024)
Rachel Newton, Zhe Du, Peter J. Seiler, Laura Balzano
Optimality of POD for Data-Driven LQR With Low-Rank Structures. IEEE Control. Syst. Lett. 8 (2024)
Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu
Efficient Low-Dimensional Compression of Overparameterized Models. AISTATS (2024)
Can Yaras, Peng Wang, Laura Balzano, Qing Qu
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation. CoRR (2024)
Rudy Geelen, Laura Balzano, Stephen Wright, Karen Willcox
Learning physics-based reduced-order models from data using nonlinear manifolds. CoRR (2023)
Alec S. Xu, Laura Balzano, Jeffrey A. Fessler
HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise. ICASSP (2023)
Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. CoRR (2023)
Rudy Geelen, Laura Balzano, Karen Willcox
Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions. CDC (2023)
Rudy Geelen, Laura Balzano, Karen Willcox
Learning latent representations in high-dimensional state spaces using polynomial manifold constructions. CoRR (2023)
Mahdi Soleymani, Qiang Liu, Hessam Mahdavifar, Laura Balzano
Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms. ISIT (2023)
Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics. CoRR (2023)
Peng Wang, Xiao Li, Can Yaras, Zhihui Zhu, Laura Balzano, Wei Hu, Qing Qu
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination. CoRR (2023)
Mahdi Soleymani, Qiang Liu, Hessam Mahdavifar, Laura Balzano
Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms. CoRR (2023)
David Hong, Fan Yang, Jeffrey A. Fessler, Laura Balzano
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data. SIAM J. Math. Data Sci. 5 (1) (2023)
Rachel Newton, Zhe Du, Laura Balzano, Peter Seiler
. Allerton (2023)
Zhe Du, Laura Balzano, Necmiye Ozay
Mode Reduction for Markov Jump Systems. CoRR (2022)
Davoud Ataee Tarzanagh, Laura Balzano
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. CoRR (2022)
Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. CoRR (2022)
Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano
Truncated Matrix Completion - An Empirical Study. EUSIPCO (2022)
Kyle Gilman, Davoud Ataee Tarzanagh, Laura Balzano
Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD. IEEE Trans. Signal Process. 70 (2022)
Zhe Du, Necmiye Ozay, Laura Balzano
Clustering-based Mode Reduction for Markov Jump Systems. L4DC (2022)
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds. ACC (2022)
Peng Wang, Huikang Liu, Anthony Man-Cho So, Laura Balzano
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering. ICML (2022)
Laura Balzano
On the equivalence of Oja's algorithm and GROUSE. AISTATS (2022)
Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay
Certainty Equivalent Quadratic Control for Markov Jump Systems. ACC (2022)
Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. NeurIPS (2022)
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
Certainty Equivalent Quadratic Control for Markov Jump Systems. CoRR (2021)
Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. 3 (1) (2021)
Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds. CoRR (2021)
David Hong, Kyle Gilman, Laura Balzano, Jeffrey A. Fessler
HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise. IEEE Trans. Signal Process. 69 (2021)
Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero III
Fair Structure Learning in Heterogeneous Graphical Models. CoRR (2021)
Kyle Gilman, Laura Balzano
Grassmannian Optimization for Online Tensor Completion and Tracking in the t-SVD Algebra. CoRR (2020)
Amanda Bower, Laura Balzano
Preference Modeling with Context-Dependent Salient Features. CoRR (2020)
Kyle Gilman, Laura Balzano
Online Tensor Completion and Free Submodule Tracking With The T-SVD. ICASSP (2020)
John Lipor, Laura Balzano
Clustering quality metrics for subspace clustering. Pattern Recognit. 104 (2020)
Amanda Bower, Laura Balzano
Preference Modeling with Context-Dependent Salient Features. ICML (2020)
Alexander Ritchie, Laura Balzano, Clayton D. Scott
Supervised PCA: A Multiobjective Approach. CoRR (2020)
Zhe Du, Necmiye Ozay, Laura Balzano
Mode Clustering for Markov Jump Systems. CoRR (2019)
David Hong, Shunbo Lei, Johanna L. Mathieu, Laura Balzano
Exploration of tensor decomposition applied to commercial building baseline estimation. GlobalSIP (2019)
Alexander Ritchie, Clayton D. Scott, Laura Balzano, Daniel Kessler, Chandra Sekhar Sripada
Supervised Principal Component Analysis Via Manifold Optimization. DSW (2019)
Hanbaek Lyu, Deanna Needell, Laura Balzano
Online matrix factorization for Markovian data and applications to Network Dictionary Learning. CoRR (2019)
Kyle Gilman, Laura Balzano
Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation. ICCV Workshops (2019)
Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin
Streaming Principal Component Analysis From Incomplete Data. J. Mach. Learn. Res. 20 (2019)
Zhe Du, Necmiye Ozay, Laura Balzano
Mode Clustering for Markov Jump Systems. CAMSAP (2019)
David Hong, Laura Balzano, Jeffrey A. Fessler
Probabilistic PCA for Heteroscedastic Data. CAMSAP (2019)
David Hong, Laura Balzano, Jeffrey A. Fessler
Asymptotic performance of PCA for high-dimensional heteroscedastic data. J. Multivar. Anal. 167 (2018)
Zhe Du, Necmiye Ozay, Laura Balzano
A Robust Algorithm for Online Switched System Identification. CoRR (2018)
Laura Balzano, Yuejie Chi, Yue M. Lu
Streaming PCA and Subspace Tracking: The Missing Data Case. Proc. IEEE 106 (8) (2018)
Amanda Bower, Lalit Jain, Laura Balzano
The Landscape of Non-Convex Quadratic Feasibility. ICASSP (2018)
Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. SSP (2018)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Online Estimation of Coherent Subspaces with Adaptive Sampling. SSP (2018)
Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano
Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. ICLR (Poster) (2018)
Gregory S. Ledva, Laura Balzano, Johanna L. Mathieu
Exploring Connections Between a Multiple Model Kalman Filter and Dynamic Fixed Share with Applications to Demand Response. CCTA (2018)
Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
Tensor Methods for Nonlinear Matrix Completion. CoRR (2018)
Laura Balzano, Yuejie Chi, Yue M. Lu
Streaming PCA and Subspace Tracking: The Missing Data Case. CoRR (2018)
David Hong, Robert P. Malinas, Jeffrey A. Fessler, Laura Balzano
Learning Dictionary-Based Unions of Subspaces for Image Denoising. EUSIPCO (2018)
Andrew Gitlin, Biaoshuai Tao, Laura Balzano, John Lipor
Improving K-Subspaces via Coherence Pursuit. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Ravi Ganti, Nikhil S. Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
On Learning High Dimensional Structured Single Index Models. AAAI (2017)
Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
Deep Unsupervised Clustering Using Mixture of Autoencoders. CoRR (2017)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. IEEE Signal Process. Lett. 24 (6) (2017)
Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
Algebraic Variety Models for High-Rank Matrix Completion. ICML (2017)
Dejiao Zhang, Laura Balzano
Matched subspace detection using compressively sampled data. ICASSP (2017)
John Lipor, David Hong, Dejiao Zhang, Laura Balzano
Subspace Clustering using Ensembles of $K$-Subspaces. CoRR (2017)
John Lipor, Laura Balzano
Leveraging Union of Subspace Structure to Improve Constrained Clustering. ICML (2017)
Greg Ongie, David Hong, Dejiao Zhang, Laura Balzano
Enhanced online subspace estimation via adaptive sensing. ACSSC (2017)
Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
Low algebraic dimension matrix completion. Allerton (2017)
Greg Ongie, Saket Dewangan, Jeffrey A. Fessler, Laura Balzano
Online dynamic MRI reconstruction via robust subspace tracking. GlobalSIP (2017)
John Lipor, Brandon P. Wong, Donald Scavia, Branko Kerkez, Laura Balzano
Distance-Penalized Active Learning Using Quantile Search. IEEE Trans. Signal Process. 65 (20) (2017)
Daniel L. Pimentel-Alarcón, Laura Balzano, Robert D. Nowak
Necessary and sufficient conditions for sketched subspace clustering. Allerton (2016)
Armin Eftekhari, Laura Balzano, Michael B. Wakin
What to Expect When You Are Expecting on the Grassmannian. CoRR (2016)
Pengyu Xiao, Laura Balzano
Online sparse and orthogonal subspace estimation from partial information. Allerton (2016)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online algorithms for factorization-based structure from motion. Comput. Vis. Image Underst. 150 (2016)
Armin Eftekhari, Laura Balzano, Dehui Yang, Michael B. Wakin
SNIPE for Memory-Limited PCA From Incomplete Data. CoRR (2016)
John Lipor, Laura Balzano
Leveraging Union of Subspace Structure to Improve Constrained Clustering. CoRR (2016)
David Hong, Laura Balzano, Jeffrey A. Fessler
Towards a theoretical analysis of PCA for heteroscedastic data. Allerton (2016)
Dejiao Zhang, Laura Balzano
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. AISTATS (2016)
Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
Group-sparse subspace clustering with missing data. SSP (2016)
Dejiao Zhang, Laura Balzano
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data. CoRR (2016)
Nikhil S. Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert D. Nowak
On Learning High Dimensional Structured Single Index Models. CoRR (2016)
Ravi Sastry Ganti Mahapatruni, Laura Balzano, Rebecca Willett
Matrix Completion Under Monotonic Single Index Models. NIPS (2015)
Ravi Ganti, Laura Balzano, Rebecca Willett
Matrix Completion Under Monotonic Single Index Models. CoRR (2015)
John Lipor, Laura Balzano, Branko Kerkez, Donald Scavia
Quantile Search: A Distance-Penalized Active Learning Algorithm for Spatial Sampling. CoRR (2015)
Laura Balzano, Stephen J. Wright
Local Convergence of an Algorithm for Subspace Identification from Partial Data. Found. Comput. Math. 15 (5) (2015)
Gregory S. Ledva, Laura Balzano, Johanna L. Mathieu
Inferring the behavior of distributed energy resources with online learning. Allerton (2015)
John Lipor, Laura Balzano
Margin-based active subspace clustering. CAMSAP (2015)
John Lipor, Laura Balzano, Branko Kerkez, Donald Scavia
Quantile search: A distance-penalized active learning algorithm for spatial sampling. Allerton (2015)
Dejiao Zhang, Laura Balzano
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. CoRR (2015)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian optimization for robust image alignment. Image Vis. Comput. 32 (10) (2014)
Ryan Kennedy, Camillo J. Taylor, Laura Balzano
Online completion of Ill-conditioned low-rank matrices. GlobalSIP (2014)
Daniel L. Pimentel-Alarcón, Robert D. Nowak, Laura Balzano
On the sample complexity of subspace clustering with missing data. SSP (2014)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online algorithms for factorization-based structure from motion. WACV (2014)
John Lipor, Laura Balzano
Robust blind calibration via total least squares. ICASSP (2014)
Laura Balzano, Stephen J. Wright
Local Convergence of an Algorithm for Subspace Identification from Partial Data. CoRR (2013)
Laura Balzano, Stephen J. Wright
On GROUSE and incremental SVD. CAMSAP (2013)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative Grassmannian Optimization for Robust Image Alignment. CoRR (2013)
Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
Iterative online subspace learning for robust image alignment. FG (2013)
Ryan Kennedy, Laura Balzano, Stephen J. Wright, Camillo J. Taylor
Online Algorithms for Factorization-Based Structure from Motion. CoRR (2013)
Laura Balzano, Stephen J. Wright
On GROUSE and Incremental SVD. CoRR (2013)
Jun He, Laura Balzano, Arthur Szlam
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR (2012)

Laura Balzano.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Laura Balzano