Aritra Dutta

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Low Rank Approximation

Background Estimation

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Guangyu Sun, Matías Mendieta, Aritra Dutta, Xin Li, Chen Chen
Towards Multi-modal Transformers in Federated Learning. CoRR (2024)
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. SIAM J. Matrix Anal. Appl. 45 (2) (2024)
Ali Khaleghi Rahimian, Manish Kumar Govind, Subhajit Maity, Dominick Reilly, Christian Kümmerle, Srijan Das, Aritra Dutta
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads. CoRR (2024)
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems. CoRR (2023)
El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
Personalized Federated Learning with Communication Compression. Trans. Mach. Learn. Res. 2023 (2023)
Aritra Dutta, Srijan Das, Jacob Nielsen, Rajatsubhra Chakraborty, Mubarak Shah
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception? CoRR (2023)
Aritra Dutta, El Houcine Bergou, Soumia Boucherouite, Nicklas Werge, Melih Kandemir, Xin Li
Demystifying the Myths and Legends of Nonconvex Convergence of SGD. CoRR (2023)
Aritra Dutta, G. Suseela, Asmita Sood
Robust Multi-Modal Image Stitching for Improved Scene Understanding. CoRR (2023)
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
Direct nonlinear acceleration. EURO J. Comput. Optim. 10 (2022)
El Houcine Bergou, Konstantin Burlachenko, Aritra Dutta, Peter Richtárik
Personalized Federated Learning with Communication Compression. CoRR (2022)
Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. NeurIPS (2021)
Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. CoRR (2021)
Aritra Dutta, Rwitam Jana, Arup Kumar Das
On Column Competent Matrices and Linear Complementarity Problem. ICMC (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. NeurIPS (2021)
Atal Narayan Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis
Rethinking gradient sparsification as total error minimization. CoRR (2021)
Hang Xu, Chen-Yu Ho, Ahmed M. Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, Panos Kalnis
GRACE: A Compressed Communication Framework for Distributed Machine Learning. ICDCS (2021)
Atal Narayan Sahu, Aritra Dutta, Aashutosh Tiwari, Peter Richtárik
On the Convergence Analysis of Asynchronous SGD for Solving Consistent Linear Systems. CoRR (2020)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. AAAI (2020)
Rishikesh R. Gajjala, Shashwat Banchhor, Ahmed M. Abdelmoniem, Aritra Dutta, Marco Canini, Panos Kalnis
Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning. DistributedML@CoNEXT (2020)
Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik
Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit. IEEE Trans. Signal Process. 68 (2020)
Aritra Dutta, Filip Hanzely, Peter Richtárik
A Nonconvex Projection Method for Robust PCA. AAAI (2019)
Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning. CoRR (2019)
Aritra Dutta, Filip Hanzely, Jingwei Liang, Peter Richtárik
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit. CoRR (2019)
Aritra Dutta, El Houcine Bergou, Yunming Xiao, Marco Canini, Peter Richtárik
Direct Nonlinear Acceleration. CoRR (2019)
Aritra Dutta, Peter Richtárik
Online and Batch Supervised Background Estimation Via L1 Regression. WACV (2019)
Aritra Dutta, Xin Li
A Fast Weighted SVT Algorithm. ICSAI (2018)
Aritra Dutta, Xin Li, Peter Richtárik
Weighted Low-Rank Approximation of Matrices and Background Modeling. CoRR (2018)
Aritra Dutta, Filip Hanzely, Peter Richtárik
A Nonconvex Projection Method for Robust PCA. CoRR (2018)
Aritra Dutta, Xin Li
On a Problem of Weighted Low-Rank Approximation of Matrices. SIAM J. Matrix Anal. Appl. 38 (2) (2017)
Aritra Dutta, Peter Richtárik
Online and Batch Supervised Background Estimation via L1 Regression. CoRR (2017)
Aritra Dutta, Xin Li, Peter Richtárik
A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices. CoRR (2017)
Xin Li, Aritra Dutta
Weighted Low Rank Approximation for Background Estimation Problems. ICCV Workshops (2017)
Aritra Dutta, Xin Li
A fast algorithm for a weighted low rank approximation. MVA (2017)
Xin Li, Aritra Dutta, Peter Richtárik
A Batch-Incremental Video Background Estimation Model Using Weighted Low-Rank Approximation of Matrices. ICCV Workshops (2017)
Brian Millikan, Aritra Dutta, Qiyu Sun, Hassan Foroosh
Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters. IEEE Trans. Aerosp. Electron. Syst. 53 (5) (2017)
Aritra Dutta, Xin Li
Weighted Low Rank Approximation for Background Estimation Problems. CoRR (2017)
Brian Millikan, Aritra Dutta, Nazanin Rahnavard, Qiyu Sun, Hassan Foroosh
Initialized iterative reweighted least squares for automatic target recognition. MILCOM (2015)