Aritra Dutta

G. Suseela

Asmita Sood

CoRR, 2023

Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?

[BibT_eX]

[DOI]

Srijan Das

Jacob Nielsen

Rajatsubhra Chakraborty

Mubarak Shah

CoRR, 2023

Demystifying the Myths and Legends of Nonconvex Convergence of SGD.

[BibT_eX]

[DOI]

CoRR, 2023

A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Direct nonlinear acceleration.

[BibT_eX]

[DOI]

EURO J. Comput. Optim., 2022

Personalized Federated Learning with Communication Compression.

[BibT_eX]

[DOI]

El Houcine Bergou

Konstantin Burlachenko

CoRR, 2022

2021

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rethinking gradient sparsification as total error minimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Column Competent Matrices and Linear Complementarity Problem.

[BibT_eX]

[DOI]

Konstantinos Karatsenidis

Rwitam Jana

Arup Kumar Das

Proceedings of the Seventh International Conference on Mathematics and Computing, 2021

GRACE: A Compressed Communication Framework for Distributed Machine Learning.

[BibT_eX]

[DOI]

Marco Canini

Panos Kalnis

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020

On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Online and Batch Supervised Background Estimation Via L1 Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

A Nonconvex Projection Method for Robust PCA.

[BibT_eX]

[DOI]

Filip Hanzely

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Weighted Low-Rank Approximation of Matrices and Background Modeling.

[BibT_eX]

[DOI]

CoRR, 2018

A Fast Weighted SVT Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Systems and Informatics, 2018

2017

Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2017

On a Problem of Weighted Low-Rank Approximation of Matrices.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2017

A fast algorithm for a weighted low rank approximation.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

A Batch-Incremental Video Background Estimation Model Using Weighted Low-Rank Approximation of Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Weighted Low Rank Approximation for Background Estimation Problems.

[BibT_eX]

[DOI]