Avishek Ghosh

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Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Arya MazumdarUniversity of California, San DiegoDirección de correo verificada de ucsd.edu
Dong YinResearch Scientist, AppleDirección de correo verificada de apple.com
Raj Kumar MaityArrcus, Microsoft & CICS, University of Massachusetts, AmherstDirección de correo verificada de cs.umass.edu
Abishek SankararamanML Scientist, AWSDirección de correo verificada de amazon.com
Sayak Ray ChowdhuryAssistant Professor of Computer Science and Engineering, Indian Institute of Technology, KanpurDirección de correo verificada de cse.iitk.ac.in
Aditya GopalanIndian Institute of Science, BangaloreDirección de correo verificada de iisc.ac.in
Ashwin PananjadyGeorgia Institute of TechnologyDirección de correo verificada de gatech.edu
Amit KonarProfessor of Electronics and Tele-Communication Department, Jadavpur UniversityDirección de correo verificada de etce.jdvu.ac.in
Anurag KumarHonorary Professor, ECE Department, Indian Institute of ScienceDirección de correo verificada de iisc.ac.in
Arpan ChattopadhyayIndian Institute of Technology DelhiDirección de correo verificada de ee.iitd.ac.in
Adityanand GuntuboyinaAssociate Professor, Department of Statistics, University of California, BerkeleyDirección de correo verificada de stat.berkeley.edu
Pabitra Pal ChoudhuryProfessor in Applied Statistics Unit, Indian Statistical Institute, KolkataDirección de correo verificada de isical.ac.in
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataDirección de correo verificada de isical.ac.in
Sk. Sarif HassanAssistant Professor, Department of Mathematics, Pingla Thana Mahavidyalaya, West Bengal, IndiaDirección de correo verificada de pinglacollege.ac.in
Anish AroraChair & Distinguished Professor, Computer Science & Engg., Ohio State; Founder, Samraksh CompanyDirección de correo verificada de cse.ohio-state.edu
Abhay Parekh(Ex) Adjunct Professor, Electrical Engineering and Computer Science, U C BerkeleyDirección de correo verificada de eecs.berkeley.edu
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.Dirección de correo verificada de iitb.ac.in
Debasish ChatterjeeProfessor, Systems & Control Engineering, IIT-BombayDirección de correo verificada de iitb.ac.in

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Avishek Ghosh

Assistant Professor, Dept. of Computer Science & Engg., IIT Bombay

Dirección de correo verificada de iitb.ac.in - Página principal

Theoretical Machine Learning Optimization RL Bandits


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
An Efficient Framework for Clustered Federated Learning A Ghosh, J Chung, D Yin, K Ramchandran Neural Information Processing Systems (NeurIPS), 2020 (short version in ICML …, 2020	862	2020
Robust Federated Learning in a Heterogeneous Environment A Ghosh, J Hong, D Yin, K Ramchandran ICML 2019 workshop on Privacy and Security, 1-30, 2019	274	2019
An efficient framework for clustered federated learning A Ghosh, J Chung, D Yin, K Ramchandran IEEE Transactions on Information Theory 68 (12), 8076-8091, 2022	118	2022
Misspecified Linear Bandits A Ghosh, S Ray Chowdhury, A Gopalan Thirty-First AAAI Conference on Artificial Intelligence, 2017	72	2017
Distributed Newton Can Communicate Less and Resist Byzantine Workers A Ghosh, RK Maity, A Mazumdar Neural Information Processing Systems (NeurIPS), 2020 (short version in ICML …, 2020	37	2020
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits A Ghosh, A Sankararaman, K Ramchandran International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021	36	2021
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran IEEE Transactions on Information Theory; Preprint: http://arxiv.org/abs/1906 …, 2019	32	2019
Multi-robot cooperative box-pushing problem using multi-objective particle swarm optimization Technique A Ghosh, A Ghosh, A Konar, R Janarthanan Information and Communication Technologies (WICT), 2012 World Congress on …, 2012	30	2012
Alternating Minimization Converges Super-linearly for Mixed Linear Regression A Ghosh, K Ramchandran International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	29	2020
Communication-efficient and byzantine-robust distributed learning with error feedback A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran IEEE Journal on Selected Areas in Information Theory 2 (3), 942-953, 2021	27	2021
Communication Efficient Distributed Approximate Newton Method A Ghosh, RK Maity, A Mazumdar, K Ramchandran IEEE International Symposium on Information Theory (ISIT), 2020, 2020	26	2020
Max-affine regression: Parameter estimation for Gaussian designs A Ghosh, A Pananjady, A Guntuboyina, K Ramchandran IEEE Transactions on Information Theory 68 (3), 1851-1885, 2021	24	2021
Communication-efficient and byzantine-robust distributed learning A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran Preprint: https://arxiv.org/pdf/1911.09721.pdf (short version in 2020 ITA), 2021	23	2021
A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem A Chowdhury, A Ghosh, S Sinha, S Das, A Ghosh International Journal of Bio-Inspired Computation 5 (5), 303-314, 2013	23	2013
Communication Efficient and Byzantine Tolerant Distributed Learning A Ghosh, RK Maity, S Kadhe, A Mazumdar, K Ramchandran IEEE International Symposium on Information Theory (ISIT), 2020, 2020	15	2020
LocalNewton: Reducing Communication Bottleneck for Distributed Learning V Gupta, A Ghosh, M Derezinski, R Khanna, K Ramchandran, M Mahoney Preprint: https://arxiv.org/pdf/2105.07320.pdf, 2021	14	2021
On learning mixture of linear regressions in the non-realizable setting A Ghosh, A Mazumdar, S Pal, R Sen International Conference on Machine Learning, 17202-17220, 2022	13	2022
Competing Bandits in Non-Stationary Matching Markets A Ghosh, A Sankararaman, K Ramchandran, T Javidi, A Mazumdar IEEE Transactions on Information Theory, 2024	11*	2024
Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits A Ghosh, A Sankararaman, K Ramchandran European Conference on Machine Learning (ECML-PKDD 2022), arXiv Preprint …, 2022	10	2022
Understanding and Control of Zener Pinning via Phase Field and Ensemble Learning S Manna, H Chan, A Ghosh, T Chakraborti, S Sankaranarayanan Computational Materials Science, 2023	9	2023

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