Laura Balzano

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Efficient Low-Dimensional Compression of Overparameterized Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Optimally Weighted PCA for High-Dimensional Heteroscedastic Data.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., March, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

HeMPPCAT: Mixtures of Probabilistic Principal Component analysers for data with heteroscedastic noise.

[BibT_eX]

[DOI]

Alec S. Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions.

[BibT_eX]

[DOI]

Rudy Geelen

Karen Willcox

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Manifold Optimization for Data Driven Reduced-Order Modeling<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.

[BibT_eX]

[DOI]

CoRR, 2022

Mode Reduction for Markov Jump Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Truncated Matrix Completion - An Empirical Study.

[BibT_eX]

[DOI]

Rishhabh Naik

Nisarg Trivedi

Proceedings of the 30th European Signal Processing Conference, 2022

Certainty Equivalent Quadratic Control for Markov Jump Systems.

[BibT_eX]

[DOI]

Yahya Sattar

Samet Oymak

Proceedings of the American Control Conference, 2022

Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds.

[BibT_eX]

[DOI]

Yahya Sattar

Samet Oymak

Proceedings of the American Control Conference, 2022

On the equivalence of Oja's algorithm and GROUSE.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Tensor Methods for Nonlinear Matrix Completion.

[BibT_eX]

[DOI]

Greg Ongie

Rebecca Willett

SIAM J. Math. Data Sci., 2021

Fair Structure Learning in Heterogeneous Graphical Models.

[BibT_eX]

[DOI]

Alfred O. Hero III

CoRR, 2021

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

[BibT_eX]

[DOI]

Yahya Sattar

Samet Oymak

CoRR, 2021

2020

Clustering quality metrics for subspace clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Supervised PCA: A Multiobjective Approach.

[BibT_eX]

[DOI]

Alexander Ritchie

Clayton D. Scott

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Preference Modeling with Context-Dependent Salient Features.

[BibT_eX]

[DOI]

Amanda Bower

Proceedings of the 37th International Conference on Machine Learning, 2020

Online Tensor Completion and Free Submodule Tracking With The T-SVD.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Streaming Principal Component Analysis From Incomplete Data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

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

[BibT_eX]

[DOI]

Hanbaek Lyu

Deanna Needell

CoRR, 2019

Panoramic Video Separation with Online Grassmannian Robust Subspace Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Exploration of tensor decomposition applied to commercial building baseline estimation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Supervised Principal Component Analysis Via Manifold Optimization.

[BibT_eX]

[DOI]

Chandra Sekhar Sripada

Proceedings of the IEEE Data Science Workshop, 2019

Probabilistic PCA for Heteroscedastic Data.

[BibT_eX]

[DOI]

David Hong

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Mode Clustering for Markov Jump Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yuejie Chi

Yue M. Lu

Proc. IEEE, 2018

Asymptotic performance of PCA for high-dimensional heteroscedastic data.

[BibT_eX]

[DOI]

David Hong

J. Multivar. Anal., 2018

Improving K-Subspaces via Coherence Pursuit.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

A Robust Algorithm for Online Switched System Identification.

[BibT_eX]

[DOI]

CoRR, 2018

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.

[BibT_eX]

[DOI]

Julian Katz-Samuels

Mário A. T. Figueiredo

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Online Estimation of Coherent Subspaces with Adaptive Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning.

[BibT_eX]

[DOI]

Haozhu Wang

Mário A. T. Figueiredo

Proceedings of the 6th International Conference on Learning Representations, 2018

The Landscape of Non-Convex Quadratic Feasibility.

[BibT_eX]

[DOI]

Amanda Bower

Lalit Jain

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Dictionary-Based Unions of Subspaces for Image Denoising.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Gregory S. Ledva

Johanna L. Mathieu

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017

Distance-Penalized Active Learning Using Quantile Search.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

What to Expect When You Are Expecting on the Grassmannian.

[BibT_eX]

[DOI]

Armin Eftekhari

Michael B. Wakin

IEEE Signal Process. Lett., 2017

Deep Unsupervised Clustering Using Mixture of Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2017

Subspace Clustering using Ensembles of $K$-Subspaces.

[BibT_eX]

[DOI]

CoRR, 2017

Algebraic Variety Models for High-Rank Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Leveraging Union of Subspace Structure to Improve Constrained Clustering.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Matched subspace detection using compressively sampled data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online dynamic MRI reconstruction via robust subspace tracking.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Low algebraic dimension matrix completion.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Enhanced online subspace estimation via adaptive sensing.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

On Learning High Dimensional Structured Single Index Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Online algorithms for factorization-based structure from motion.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

SNIPE for Memory-Limited PCA From Incomplete Data.

[BibT_eX]

[DOI]

CoRR, 2016

Group-sparse subspace clustering with missing data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Online sparse and orthogonal subspace estimation from partial information.

[BibT_eX]

[DOI]

Pengyu Xiao

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Necessary and sufficient conditions for sketched subspace clustering.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Towards a theoretical analysis of PCA for heteroscedastic data.

[BibT_eX]

[DOI]

David Hong

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Local Convergence of an Algorithm for Subspace Identification from Partial Data.

[BibT_eX]

[DOI]

Ravi Sastry Ganti Mahapatruni

Stephen J. Wright

Found. Comput. Math., 2015

Matrix Completion Under Monotonic Single Index Models.

[BibT_eX]

[DOI]

Rebecca Willett

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Margin-based active subspace clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Inferring the behavior of distributed energy resources with online learning.

[BibT_eX]

[DOI]

Gregory S. Ledva

Johanna L. Mathieu

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Iterative Grassmannian optimization for robust image alignment.

[BibT_eX]

[DOI]

Image Vis. Comput., 2014

On the sample complexity of subspace clustering with missing data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust blind calibration via total least squares.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Online completion of Ill-conditioned low-rank matrices.

[BibT_eX]

[DOI]

Ryan Kennedy

Camillo J. Taylor

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Iterative online subspace learning for robust image alignment.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

On GROUSE and incremental SVD.

[BibT_eX]

[DOI]

Stephen J. Wright

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.

[BibT_eX]

[DOI]

Vincent Y. F. Tan

Stark C. Draper

IEEE Trans. Inf. Theory, 2012

High-Rank Matrix Completion.

[BibT_eX]

[DOI]

Brian Eriksson

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

K-subspaces with missing data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video.

[BibT_eX]

[DOI]

Jun He

Arthur Szlam

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

High-Rank Matrix Completion and Subspace Clustering with Missing Data

[BibT_eX]

[DOI]

Brian Eriksson

CoRR, 2011

Online Robust Subspace Tracking from Partial Information

[BibT_eX]

[DOI]

Jun He

John C. S. Lui

CoRR, 2011

Rank minimization over finite fields.

[BibT_eX]

[DOI]

Vincent Y. F. Tan

Stark C. Draper

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

On the success of network inference using a markov routing model.

[BibT_eX]

[DOI]

Matthew Roughan

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

High-dimensional Matched Subspace Detection when data are missing.

[BibT_eX]

[DOI]

Benjamin Recht

Proceedings of the IEEE International Symposium on Information Theory, 2010

Online identification and tracking of subspaces from highly incomplete information.

[BibT_eX]

[DOI]

Mohamed Nabil Hajj Chehade

Robert Nowak

Benjamin Recht

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Sensor network data fault types.

[BibT_eX]

[DOI]

Kevin Ni

Nithya Ramanathan

ACM Trans. Sens. Networks, 2009

2008

Reputation-based framework for high integrity sensor networks.

[BibT_eX]

[DOI]

Saurabh Ganeriwal

Mani B. Srivastava

ACM Trans. Sens. Networks, 2008

2007

Blind calibration of sensor networks.

[BibT_eX]

[DOI]