Feature Extraction Using Fuzzy Rule Based System. - Narendra S. Chaudhari; Avishek Ghosh (Int. J. Comput. Sci. Appl., 2008)

Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT. - Ananthakrishnan Ramanathan; Hansraj Choudhary; Avishek Ghosh; Pushpak Bhattacharyya (ACL/IJCNLP, 2009)

Fractal String Generation and Its Application in Music Composition - Avishek Ghosh; Joydeep Banerjee; Sarif Sk. Hassan; Pabitra Pal Choudhury (CoRR, 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)

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 (IEEE Congress on Evolutionary Computation, 2012)

Application of Integral Value Transformation (IVT) in a Specialized Computer Network Design - Souvik Naskar; Avishek Ghosh; Pabitra Pal Choudhury (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)

An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm - Avishek Ghosh; Arnab Ghosh; Arkabandhu Chowdhury; Jubin Hazra (CoRR, 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)

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)

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 001 (MASS, 2014)

Misspecified Linear Bandits. - Avishek Ghosh; Sayak Ray Chowdhury; Aditya Gopalan (AAAI, 2017)

Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks. - Avishek Ghosh; Arpan Chattopadhyay; Anish Arora; Anurag Kumar 001 (ACM Trans. Sens. Networks, 2017)

Online Scoring with Delayed Information: A Convex Optimization Viewpoint. - Avishek Ghosh; Kannan Ramchandran (Allerton, 2018)

Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. - Avishek Ghosh; Kannan Ramchandran (Allerton, 2018)

Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach. - Sinho Chewi; Forest Yang; Avishek Ghosh; Abhay Parekh; Kannan Ramchandran (CoRR, 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 001 (IEEE Trans. Mob. Comput., 2018)

Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm. - Sinho Chewi; Forest Yang; Avishek Ghosh; Abhay Parekh; Kannan Ramchandran (Allerton, 2019)

Robust Federated Learning in a Heterogeneous Environment. - Avishek Ghosh; Justin Hong; Dong Yin; Kannan Ramchandran (CoRR, 2019)

Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (CoRR, 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)

Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. - Avishek Ghosh; Kannan Ramchandran (AISTATS, 2020)

Communication Efficient and Byzantine Tolerant Distributed Learning. - Avishek Ghosh; Raj Kumar Maity; Swanand Kadhe; Arya Mazumdar; Kannan Ramchandran (ISIT, 2020)

Communication Efficient Distributed Approximate Newton Method. - Avishek Ghosh; Raj Kumar Maity; Arya Mazumdar; Kannan Ramchandran (ISIT, 2020)

Max-affine regression with universal parameter estimation for small-ball designs. - Avishek Ghosh; Ashwin Pananjady; Aditya Guntuboyina; Kannan Ramchandran (ISIT, 2020)

Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices. - Avishek Ghosh; Kannan Ramchandran (ISIT, 2020)

Communication-Efficient and Byzantine-Robust Distributed Learning. - Avishek Ghosh; Raj Kumar Maity; Swanand Kadhe; Arya Mazumdar; Kannan Ramchandran (ITA, 2020)

Distributed Newton Can Communicate Less and Resist Byzantine Workers. - Avishek Ghosh; Raj Kumar Maity; Arya Mazumdar (NeurIPS, 2020)

Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (AISTATS, 2021)

LocalNewton: Reducing communication rounds for distributed learning. - Vipul Gupta; Avishek Ghosh; Michal Derezinski; Rajiv Khanna; Kannan Ramchandran; Michael W. Mahoney (UAI, 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 Bottleneck for Distributed Learning. - Vipul Gupta; Avishek Ghosh; Michal Derezinski; Rajiv Khanna; Kannan Ramchandran; Michael W. Mahoney (CoRR, 2021)

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (CoRR, 2021)

Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes. - Avishek Ghosh; Sayak Ray Chowdhury; Kannan Ramchandran (CoRR, 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)

Breaking the $ sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. - Avishek Ghosh; Abishek Sankararaman (ICML, 2022)

On Learning Mixture of Linear Regressions in the Non-Realizable Setting. - Soumyabrata Pal; Arya Mazumdar; Rajat Sen; Avishek Ghosh (ICML, 2022)

Model Selection in Reinforcement Learning with General Function Approximations. - Avishek Ghosh; Sayak Ray Chowdhury (ECML/PKDD (4), 2022)

Multi-agent Heterogeneous Stochastic Linear Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (ECML/PKDD (4), 2022)

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. - Avishek Ghosh; Abishek Sankararaman (CoRR, 2022)

Decentralized Competing Bandits in Non-Stationary Matching Markets. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran; Tara Javidi; Arya Mazumdar (CoRR, 2022)

An Improved Algorithm for Clustered Federated Learning. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (CoRR, 2022)

An Efficient Framework for Clustered Federated Learning. - Avishek Ghosh; Jichan Chung; Dong Yin; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2022)

Max-Affine Regression: Parameter Estimation for Gaussian Designs. - Avishek Ghosh; Ashwin Pananjady; Adityanand Guntuboyina; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2022)

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. - Debangshu Banerjee 002; Avishek Ghosh; Sayak Ray Chowdhury; Aditya Gopalan (AISTATS, 2023)

Optimal Compression of Unit Norm Vectors in the High Distortion Regime. - Heng Zhu; Avishek Ghosh; Arya Mazumdar (ISIT, 2023)

Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. - Avishek Ghosh; Arya Mazumdar (ICML, 2024)

PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. - Lokesh Nagalapatti; Pranava Singhal; Avishek Ghosh; Sunita Sarawagi (ICML, 2024)

Detection of False Data Injection Attacks in Cyber-Physical Systems. - Souvik Das; Avishek Ghosh; Debasish Chatterjee (ISIT, 2024)

DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton. - Avishek Ghosh; Raj Kumar Maity; Arya Mazumdar (ISIT, 2024)

Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets. - Tejas Pagare; Avishek Ghosh (ISIT, 2024)

Competing Bandits in Decentralized Large Contextual Matching Markets. - Satush Parikh; Soumya Basu 001; Avishek Ghosh; Abishek Sankararaman (CoRR, 2024)

An Improved Federated Clustering Algorithm with Model-based Clustering. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (Trans. Mach. Learn. Res., 2024)

Model Selection for Generic Contextual Bandits. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2024)

Competing Bandits in Non-Stationary Matching Markets. - Avishek Ghosh; Abishek Sankararaman; Kannan Ramchandran; Tara Javidi; Arya Mazumdar (IEEE Trans. Inf. Theory, 2024)

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE. - Lokesh Nagalapatti; Pranava Singhal; Avishek Ghosh; Sunita Sarawagi (Trans. Mach. Learn. Res., 2025)

Learning and Generalization with Mixture Data. - Harsh Vardhan; Avishek Ghosh; Arya Mazumdar (CoRR, 2025)

Near Optimal Best Arm Identification for Clustered Bandits. - Yash; Nikhil Karamchandani; Avishek Ghosh (CoRR, 2025)

Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners. - Drashthi Doshi; Aditya Vema Reddy Kesari; Swaprava Nath; Avishek Ghosh; Suhas S. Kowshik (CoRR, 2025)

LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations. - Harsh Vardhan; Heng Zhu; Avishek Ghosh; Arya Mazumdar (CoRR, 2025)