Avishek Ghosh

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Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Arya MazumdarUniversity of California, San DiegoVerified email at ucsd.edu
Dong YinResearch Scientist, AppleVerified email at apple.com
Raj Kumar MaityMicrosoft & CICS, University of Massachusetts, AmherstVerified email at cs.umass.edu
Abishek SankararamanML Scientist, AWSVerified email at amazon.com
Sayak Ray ChowdhuryAssistant Professor of Computer Science and Engineering, Indian Institute of Technology, KanpurVerified email at cse.iitk.ac.in
Aditya GopalanIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Amit KonarProfessor of Electronics and Tele-Communication Department, Jadavpur UniversityVerified email at etce.jdvu.ac.in
Anurag KumarHonorary Professor, ECE Department, Indian Institute of ScienceVerified email at iisc.ac.in
Arpan ChattopadhyayIndian Institute of Technology DelhiVerified email at ee.iitd.ac.in
Adityanand GuntuboyinaAssociate Professor, Department of Statistics, University of California, BerkeleyVerified email at stat.berkeley.edu
Pabitra Pal ChoudhuryProfessor in Applied Statistics Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Anish AroraChair & Distinguished Professor, Computer Science & Engg., Ohio State; Founder, Samraksh CompanyVerified email at cse.ohio-state.edu
Sk. Sarif HassanAssistant Professor, Department of Mathematics, Pingla Thana Mahavidyalaya, West Bengal, IndiaVerified email at pinglacollege.ac.in
Abhay Parekh(Ex) Adjunct Professor, Electrical Engineering and Computer Science, U C BerkeleyVerified email at eecs.berkeley.edu
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.Verified email at iitb.ac.in
Debasish ChatterjeeProfessor, Centre for Systems and Control, IIT-BombayVerified email at iitb.ac.in

Avishek Ghosh

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

Verified email at iitb.ac.in - Homepage

Theoretical Machine Learning Optimization RL Bandits


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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	976	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	293	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	154	2022
Misspecified Linear Bandits A Ghosh, S Ray Chowdhury, A Gopalan Thirty-First AAAI Conference on Artificial Intelligence, 2017	76	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	41	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	38	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	33	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	31	2012
Alternating Minimization Converges Super-linearly for Mixed Linear Regression A Ghosh, K Ramchandran International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	30	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	29	2021
Communication Efficient Distributed Approximate Newton Method A Ghosh, RK Maity, A Mazumdar, K Ramchandran IEEE International Symposium on Information Theory (ISIT), 2020, 2020	27	2020
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	26	2021
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	25	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
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	17	2021
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	17	2020
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	15	2023
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	14	2022
Competing Bandits in Non-Stationary Matching Markets A Ghosh, A Sankararaman, K Ramchandran, T Javidi, A Mazumdar IEEE Transactions on Information Theory, 2024	13*	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

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