Avishek Ghosh

According to our database, Avishek Ghosh authored at least 48 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Competing Bandits in Non-Stationary Matching Markets.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar

IEEE Trans. Inf. Theory, April, 2024

Model Selection for Generic Contextual Bandits.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

IEEE Trans. Inf. Theory, January, 2024

2023

Optimal Compression of Unit Norm Vectors in the High Distortion Regime.

Heng Zhu, Avishek Ghosh, Arya Mazumdar

Proceedings of the IEEE International Symposium on Information Theory, 2023

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference.

Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Max-Affine Regression: Parameter Estimation for Gaussian Designs.

Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran

IEEE Trans. Inf. Theory, 2022

An Efficient Framework for Clustered Federated Learning.

Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran

IEEE Trans. Inf. Theory, 2022

An Improved Algorithm for Clustered Federated Learning.

Harsh Vardhan, Avishek Ghosh, Arya Mazumdar

CoRR, 2022

Decentralized Competing Bandits in Non-Stationary Matching Markets.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar

CoRR, 2022

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.

Avishek Ghosh, Abishek Sankararaman

CoRR, 2022

Multi-agent Heterogeneous Stochastic Linear Bandits.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Model Selection in Reinforcement Learning with General Function Approximations.

Avishek Ghosh, Sayak Ray Chowdhury

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

On Learning Mixture of Linear Regressions in the Non-Realizable Setting.

Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh

Proceedings of the International Conference on Machine Learning, 2022

Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.

Avishek Ghosh, Abishek Sankararaman

Proceedings of the International Conference on Machine Learning, 2022

2021

Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback.

Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran

IEEE J. Sel. Areas Inf. Theory, 2021

Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes.

Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran

CoRR, 2021

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

CoRR, 2021

LocalNewton: Reducing Communication Bottleneck for Distributed Learning.

Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney

CoRR, 2021

Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience.

Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran

CoRR, 2021

LocalNewton: Reducing communication rounds for distributed learning.

Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits.

Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Distributed Newton Can Communicate Less and Resist Byzantine Workers.

Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Communication-Efficient and Byzantine-Robust Distributed Learning.

Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran

Proceedings of the Information Theory and Applications Workshop, 2020

Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices.

Avishek Ghosh, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2020

Max-affine regression with universal parameter estimation for small-ball designs.

Avishek Ghosh, Ashwin Pananjady, Aditya Guntuboyina, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2020

Communication Efficient Distributed Approximate Newton Method.

Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2020

Communication Efficient and Byzantine Tolerant Distributed Learning.

Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran

Proceedings of the IEEE International Symposium on Information Theory, 2020

Alternating Minimization Converges Super-Linearly for Mixed Linear Regression.

Avishek Ghosh, Kannan Ramchandran

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Effects of Vertical Irregularity in Steel Frame with Shear Linked Steel Bracings.

Md Mahmud Sazzad, Md Samdani Azad, Avishek Ghosh

J. Adv. Eng. Comput., 2019

Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation.

Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran

CoRR, 2019

Robust Federated Learning in a Heterogeneous Environment.

Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran

CoRR, 2019

Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm.

Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks Along a Line.

Arpan Chattopadhyay, Avishek Ghosh, Anurag Kumar

IEEE Trans. Mob. Comput., 2018

Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach.

Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran

CoRR, 2018

Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions.

Avishek Ghosh, Kannan Ramchandran

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Online Scoring with Delayed Information: A Convex Optimization Viewpoint.

Avishek Ghosh, Kannan Ramchandran

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks.

Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, Anurag Kumar

ACM Trans. Sens. Networks, 2017

Misspecified Linear Bandits.

Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

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

2014

Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail.

Arpan Chattopadhyay, Avishek Ghosh, Akhila S. Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux, Anurag Kumar

Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

2013

A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem.

Arkabandhu Chowdhury, Arnab Ghosh, Subhajit Sinha, Swagatam Das, Avishek Ghosh

Int. J. Bio Inspired Comput., 2013

2012

Multi-robot Cooperative Box-pushing problem using Multi-objective Particle Swarm Optimization Technique

Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar, Ramadoss Janarthanan

CoRR, 2012

An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm

Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Jubin Hazra

CoRR, 2012

An Evolutionary Approach to Drug-Design Using a Novel Neighbourhood Based Genetic Algorithm

Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar

CoRR, 2012

Application of Integral Value Transformation (IVT) in a Specialized Computer Network Design

Souvik Naskar, Avishek Ghosh, Pabitra Pal Choudhury

CoRR, 2012

Linear phase low pass FIR filter design using Genetic Particle Swarm Optimization with dynamically varying neighbourhood technique.

Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Amit Konar, Eunjin Kim, Atulya K. Nagar

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Integral Value Transformations: A Class of Affine Discrete Dynamical Systems and an Application

Sarif Sk. Hassan, Pabitra Pal Choudhury, Birendra Kumar Nayak, Avishek Ghosh, Joydeep Banerjee

CoRR, 2011

Fractal String Generation and Its Application in Music Composition

Avishek Ghosh, Joydeep Banerjee, Sarif Sk. Hassan, Pabitra Pal Choudhury

CoRR, 2011

2009

Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT.

Ananthakrishnan Ramanathan, Hansraj Choudhary, Avishek Ghosh, Pushpak Bhattacharyya

Proceedings of the ACL 2009, 2009

2008

Feature Extraction Using Fuzzy Rule Based System.

Narendra S. Chaudhari, Avishek Ghosh

Int. J. Comput. Sci. Appl., 2008