Avishek Ghosh - RankMe

83 papers A* 8A 4B 11Misc 1Journal 53Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners. CoRR Drashthi Doshi, Aditya Vema Reddy Kesari, Swaprava Nath, Avishek Ghosh, Suhas S. Kowshik
2025	B	`conf`	Learning and Generalization with Mixture Data. ISIT Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2025	J	`jnl`	Learning and Generalization with Mixture Data. CoRR Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2025	J	`jnl`	Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE. CoRR Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2025	J	`jnl`	Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE. Trans. Mach. Learn. Res. Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2025	J	`jnl`	LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations. CoRR Harsh Vardhan, Heng Zhu, Avishek Ghosh, Arya Mazumdar
2025	A*	`conf`	Near Optimal Best Arm Identification for Clustered Bandits. ICML Yash, Avishek Ghosh, Nikhil Karamchandani
2025	J	`jnl`	Near Optimal Best Arm Identification for Clustered Bandits. CoRR Yash, Nikhil Karamchandani, Avishek Ghosh
2025	J	`jnl`	On the Theory of Continual Learning with Gradient Descent for Neural Networks. CoRR Hossein Taheri, Avishek Ghosh, Arya Mazumdar
2024	A*	`conf`	Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. ICML Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. CoRR Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	An Improved Federated Clustering Algorithm with Model-based Clustering. Trans. Mach. Learn. Res. Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	Competing Bandits in Decentralized Large Contextual Matching Markets. CoRR Satush Parikh, Soumya Basu, Avishek Ghosh, Abishek Sankararaman
2024	J	`jnl`	Competing Bandits in Non-Stationary Matching Markets. IEEE Trans. Inf. Theory Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2024	B	`conf`	DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton. ISIT Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2024	B	`conf`	Detection of False Data Injection Attacks in Cyber-Physical Systems. ISIT Souvik Das, Avishek Ghosh, Debasish Chatterjee
2024	B	`conf`	Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets. ISIT Tejas Pagare, Avishek Ghosh
2024	J	`jnl`	Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets. CoRR Tejas Pagare, Avishek Ghosh
2024	J	`jnl`	Model Selection for Generic Contextual Bandits. IEEE Trans. Inf. Theory Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2024	A*	`conf`	PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. ICML Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2024	J	`jnl`	PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. CoRR Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2023	A	`conf`	Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2023	B	`conf`	Optimal Compression of Unit Norm Vectors in the High Distortion Regime. ISIT Heng Zhu, Avishek Ghosh, Arya Mazumdar
2023	J	`jnl`	Optimal Compression of Unit Norm Vectors in the High Distortion Regime. CoRR Heng Zhu, Avishek Ghosh, Arya Mazumdar
2022	J	`jnl`	An Efficient Framework for Clustered Federated Learning. IEEE Trans. Inf. Theory Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
2022	J	`jnl`	An Improved Algorithm for Clustered Federated Learning. CoRR Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2022	A*	`conf`	Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. ICML Avishek Ghosh, Abishek Sankararaman
2022	J	`jnl`	Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman
2022	J	`jnl`	Decentralized Competing Bandits in Non-Stationary Matching Markets. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2022	J	`jnl`	Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2022	J	`jnl`	Max-Affine Regression: Parameter Estimation for Gaussian Designs. IEEE Trans. Inf. Theory Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
2022	—	`conf`	Model Selection in Reinforcement Learning with General Function Approximations. ECML/PKDD (4) Avishek Ghosh, Sayak Ray Chowdhury
2022	J	`jnl`	Model Selection in Reinforcement Learning with General Function Approximations. CoRR Avishek Ghosh, Sayak Ray Chowdhury
2022	—	`conf`	Multi-agent Heterogeneous Stochastic Linear Bandits. ECML/PKDD (4) Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2022	A*	`conf`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
2022	J	`jnl`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
2021	J	`jnl`	Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2021	J	`jnl`	Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. IEEE J. Sel. Areas Inf. Theory Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2021	J	`jnl`	Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience. CoRR Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
2021	J	`jnl`	LocalNewton: Reducing Communication Bottleneck for Distributed Learning. CoRR Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney
2021	A	`conf`	LocalNewton: Reducing communication rounds for distributed learning. UAI Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney
2021	J	`jnl`	Model Selection for Generic Contextual Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2021	J	`jnl`	Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes. CoRR Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran
2021	A	`conf`	Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. AISTATS Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2020	A	`conf`	Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. AISTATS Avishek Ghosh, Kannan Ramchandran
2020	J	`jnl`	Alternating Minimization Converges Super-Linearly for Mixed Linear Regression. CoRR Avishek Ghosh, Kannan Ramchandran
2020	A*	`conf`	An Efficient Framework for Clustered Federated Learning. NeurIPS Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
2020	J	`jnl`	An Efficient Framework for Clustered Federated Learning. CoRR Avishek Ghosh, Jichan Chung, Dong Yin, Kannan Ramchandran
2020	B	`conf`	Communication Efficient Distributed Approximate Newton Method. ISIT Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
2020	B	`conf`	Communication Efficient and Byzantine Tolerant Distributed Learning. ISIT Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2020	Misc	`conf`	Communication-Efficient and Byzantine-Robust Distributed Learning. ITA Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2020	A*	`conf`	Distributed Newton Can Communicate Less and Resist Byzantine Workers. NeurIPS Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2020	J	`jnl`	Distributed Newton Can Communicate Less and Resist Byzantine Workers. CoRR Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2020	B	`conf`	Max-affine regression with universal parameter estimation for small-ball designs. ISIT Avishek Ghosh, Ashwin Pananjady, Aditya Guntuboyina, Kannan Ramchandran
2020	J	`jnl`	Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran
2020	B	`conf`	Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices. ISIT Avishek Ghosh, Kannan Ramchandran
2019	J	`jnl`	Communication-Efficient and Byzantine-Robust Distributed Learning. CoRR Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2019	J	`jnl`	Effects of Vertical Irregularity in Steel Frame with Shear Linked Steel Bracings. J. Adv. Eng. Comput. Md Mahmud Sazzad, Md Samdani Azad, Avishek Ghosh
2019	—	`conf`	Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm. Allerton Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran
2019	J	`jnl`	Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation. CoRR Avishek Ghosh, Ashwin Pananjady, Adityanand Guntuboyina, Kannan Ramchandran
2019	J	`jnl`	Robust Federated Learning in a Heterogeneous Environment. CoRR Avishek Ghosh, Justin Hong, Dong Yin, Kannan Ramchandran
2018	J	`jnl`	Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks Along a Line. IEEE Trans. Mob. Comput. Arpan Chattopadhyay, Avishek Ghosh, Anurag Kumar
2018	—	`conf`	Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. Allerton Avishek Ghosh, Kannan Ramchandran
2018	J	`jnl`	Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. CoRR Avishek Ghosh, Kannan Ramchandran
2018	J	`jnl`	Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach. CoRR Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran
2018	—	`conf`	Online Scoring with Delayed Information: A Convex Optimization Viewpoint. Allerton Avishek Ghosh, Kannan Ramchandran
2018	J	`jnl`	Online Scoring with Delayed Information: A Convex Optimization Viewpoint. CoRR Avishek Ghosh, Kannan Ramchandran
2017	J	`jnl`	Asynchronous Stochastic Approximation Based Learning Algorithms for As-You-Go Deployment of Wireless Relay Networks along a Line. CoRR Arpan Chattopadhyay, Avishek Ghosh, Anurag Kumar
2017	J	`jnl`	Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks. ACM Trans. Sens. Networks Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, Anurag Kumar
2017	A*	`conf`	Misspecified Linear Bandits. AAAI Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2017	J	`jnl`	Misspecified Linear Bandits. CoRR Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
2014	B	`conf`	Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail. MASS Arpan Chattopadhyay, Avishek Ghosh, Akhila S. Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux, Anurag Kumar
2014	J	`jnl`	Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail. CoRR Arpan Chattopadhyay, Avishek Ghosh, Akhila Rao, Bharat Dwivedi, S. V. R. Anand, Marceau Coupechoux, Anurag Kumar
2013	J	`jnl`	A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem. Int. J. Bio Inspired Comput. Arkabandhu Chowdhury, Arnab Ghosh, Subhajit Sinha, Swagatam Das, Avishek Ghosh
2012	J	`jnl`	An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm CoRR Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Jubin Hazra
2012	J	`jnl`	An Evolutionary Approach to Drug-Design Using a Novel Neighbourhood Based Genetic Algorithm CoRR Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar
2012	J	`jnl`	Application of Integral Value Transformation (IVT) in a Specialized Computer Network Design CoRR Souvik Naskar, Avishek Ghosh, Pabitra Pal Choudhury
2012	B	`conf`	Linear phase low pass FIR filter design using Genetic Particle Swarm Optimization with dynamically varying neighbourhood technique. IEEE Congress on Evolutionary Computation Avishek Ghosh, Arnab Ghosh, Arkabandhu Chowdhury, Amit Konar, Eunjin Kim, Atulya K. Nagar
2012	J	`jnl`	Multi-robot Cooperative Box-pushing problem using Multi-objective Particle Swarm Optimization Technique CoRR Arnab Ghosh, Avishek Ghosh, Arkabandhu Chowdhury, Amit Konar, Ramadoss Janarthanan
2011	J	`jnl`	Fractal String Generation and Its Application in Music Composition CoRR Avishek Ghosh, Joydeep Banerjee, Sarif Sk. Hassan, Pabitra Pal Choudhury
2011	J	`jnl`	Integral Value Transformations: A Class of Affine Discrete Dynamical Systems and an Application CoRR Sarif Sk. Hassan, Pabitra Pal Choudhury, Birendra Kumar Nayak, Avishek Ghosh, Joydeep Banerjee
2009	—	`conf`	Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT. ACL/IJCNLP Ananthakrishnan Ramanathan, Hansraj Choudhary, Avishek Ghosh, Pushpak Bhattacharyya
2008	J	`jnl`	Feature Extraction Using Fuzzy Rule Based System. Int. J. Comput. Sci. Appl. Narendra S. Chaudhari, Avishek Ghosh