Avishek Ghosh

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 55

Top Topics

Distributed Learning

Top Venues

IEEE Trans. Inf. Theory

Publications

Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
An Improved Federated Clustering Algorithm with Model-based Clustering. Trans. Mach. Learn. Res. 2024 (2024)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
Competing Bandits in Non-Stationary Matching Markets. IEEE Trans. Inf. Theory 70 (4) (2024)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Model Selection for Generic Contextual Bandits. IEEE Trans. Inf. Theory 70 (1) (2024)
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. CoRR (2024)
Avishek Ghosh, Arya Mazumdar
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. CoRR (2024)
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Optimal Compression of Unit Norm Vectors in the High Distortion Regime. ISIT (2023)
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Optimal Compression of Unit Norm Vectors in the High Distortion Regime. CoRR (2023)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS (2023)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Multi-agent Heterogeneous Stochastic Linear Bandits. ECML/PKDD (4) (2022)
Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR (2022)
Avishek Ghosh, Abishek Sankararaman
Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. CoRR (2022)
Avishek Ghosh, Sayak Ray Chowdhury
Model Selection in Reinforcement Learning with General Function Approximations. ECML/PKDD (4) (2022)
Harshvardhan, Avishek Ghosh, Arya Mazumdar
An Improved Algorithm for Clustered Federated Learning. CoRR (2022)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR (2022)
Avishek Ghosh, Sayak Ray Chowdhury
Model Selection in Reinforcement Learning with General Function Approximations. CoRR (2022)
Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
Max-Affine Regression: Parameter Estimation for Gaussian Designs. IEEE Trans. Inf. Theory 68 (3) (2022)
Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
An Efficient Framework for Clustered Federated Learning. IEEE Trans. Inf. Theory 68 (12) (2022)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
Decentralized Competing Bandits in Non-Stationary Matching Markets. CoRR (2022)
Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML (2022)
Avishek Ghosh, Abishek Sankararaman
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. ICML (2022)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. AISTATS (2021)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Model Selection for Generic Contextual Bandits. CoRR (2021)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits. CoRR (2021)
Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes. CoRR (2021)
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney
LocalNewton: Reducing Communication Bottleneck for Distributed Learning. CoRR (2021)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience. CoRR (2021)
Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney
LocalNewton: Reducing communication rounds for distributed learning. UAI (2021)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. IEEE J. Sel. Areas Inf. Theory 2 (3) (2021)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. ITA (2020)
Avishek Ghosh, Kannan Ramchandran
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. CoRR (2020)
Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
An Efficient Framework for Clustered Federated Learning. NeurIPS (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication Efficient and Byzantine Tolerant Distributed Learning. ISIT (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. CoRR (2020)
Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
An Efficient Framework for Clustered Federated Learning. CoRR (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. NeurIPS (2020)
Avishek Ghosh, Kannan Ramchandran
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. AISTATS (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Communication Efficient Distributed Approximate Newton Method. ISIT (2020)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. CoRR (2020)
Avishek Ghosh, Kannan Ramchandran
Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices. ISIT (2020)
Avishek Ghosh, Ashwin Pananjady, Aditya Guntuboyina, Kannan Ramchandran
Max-affine regression with universal parameter estimation for small-ball designs. ISIT (2020)
Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. CoRR (2019)
Md Mahmud Sazzad, Md Samdani Azad, Avishek Ghosh
Effects of Vertical Irregularity in Steel Frame with Shear Linked Steel Bracings. J. Adv. Eng. Comput. 3 (4) (2019)
Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran
Robust Federated Learning in a Heterogeneous Environment. CoRR (2019)
Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran
Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm. Allerton (2019)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. CoRR (2019)
Arpan Chattopadhyay, Avishek Ghosh, Anurag Kumar
Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks Along a Line. IEEE Trans. Mob. Comput. 17 (5) (2018)
Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran
Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach. CoRR (2018)
Avishek Ghosh, Kannan Ramchandran
Online Scoring with Delayed Information: A Convex Optimization Viewpoint. Allerton (2018)
Avishek Ghosh, Kannan Ramchandran
Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. Allerton (2018)
Avishek Ghosh, Kannan Ramchandran
Online Scoring with Delayed Information: A Convex Optimization Viewpoint. CoRR (2018)
Avishek Ghosh, Kannan Ramchandran
Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. CoRR (2018)
Arpan Chattopadhyay, Avishek Ghosh, Anurag Kumar
Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks along a Line. CoRR (2017)
Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, Anurag Kumar
Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks. ACM Trans. Sens. Networks 13 (3) (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. AAAI (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. CoRR (2017)
Arpan Chattopadhyay, Avishek Ghosh, Akhila Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux, Anurag Kumar
Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail. CoRR (2014)
Arpan Chattopadhyay, Avishek Ghosh, Akhila S. Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux, Anurag Kumar
Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail. MASS (2014)
Arkabandhu Chowdhury, Arnab Ghosh, Subhajit Sinha, Swagatam Das, Avishek Ghosh
A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem. Int. J. Bio Inspired Comput. 5 (5) (2013)
Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar
An Evolutionary Approach to Drug-Design Using a Novel Neighbourhood Based Genetic Algorithm CoRR (2012)
Souvik Naskar, Avishek Ghosh, Pabitra Pal Choudhury
Application of Integral Value Transformation (IVT) in a Specialized Computer Network Design CoRR (2012)
Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Jubin Hazra
An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm CoRR (2012)
Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Amit Konar, Eunjin Kim, Atulya K. Nagar
Linear phase low pass FIR filter design using Genetic Particle Swarm Optimization with dynamically varying neighbourhood technique. IEEE Congress on Evolutionary Computation (2012)
Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar, Ramadoss Janarthanan
Multi-robot Cooperative Box-pushing problem using Multi-objective Particle Swarm Optimization Technique CoRR (2012)
Sarif Sk. Hassan, Pabitra Pal Choudhury, Birendra Kumar Nayak, Avishek Ghosh, Joydeep Banerjee
Integral Value Transformations: A Class of Affine Discrete Dynamical Systems and an Application CoRR (2011)
Avishek Ghosh, Joydeep Banerjee, Sarif Sk. Hassan, Pabitra Pal Choudhury
Fractal String Generation and Its Application in Music Composition CoRR (2011)
Ananthakrishnan Ramanathan, Hansraj Choudhary, Avishek Ghosh, Pushpak Bhattacharyya
Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT. ACL/IJCNLP (2009)
Narendra S. Chaudhari, Avishek Ghosh
Feature Extraction Using Fuzzy Rule Based System. Int. J. Comput. Sci. Appl. 5 (3) (2008)