Avishek Ghosh

Orcid: 0000-0002-6548-6692

According to our database1, Avishek Ghosh authored at least 54 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Competing Bandits in Non-Stationary Matching Markets.
IEEE Trans. Inf. Theory, April, 2024

Model Selection for Generic Contextual Bandits.
IEEE Trans. Inf. Theory, January, 2024

An Improved Federated Clustering Algorithm with Model-based Clustering.
Trans. Mach. Learn. Res., 2024

Explore-then-Commit Algorithms for Decentralized Two-Sided Matching Markets.
Proceedings of the IEEE International Symposium on Information Theory, 2024

DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Detection of False Data Injection Attacks in Cyber-Physical Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2024

PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Optimal Compression of Unit Norm Vectors in the High Distortion Regime.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Max-Affine Regression: Parameter Estimation for Gaussian Designs.
IEEE Trans. Inf. Theory, 2022

An Efficient Framework for Clustered Federated Learning.
IEEE Trans. Inf. Theory, 2022

An Improved Algorithm for Clustered Federated Learning.
CoRR, 2022

Decentralized Competing Bandits in Non-Stationary Matching Markets.
CoRR, 2022

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.
CoRR, 2022

Multi-agent Heterogeneous Stochastic Linear Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Model Selection in Reinforcement Learning with General Function Approximations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

On Learning Mixture of Linear Regressions in the Non-Realizable Setting.
Proceedings of the International Conference on Machine Learning, 2022

Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits.
Proceedings of the International Conference on Machine Learning, 2022

2021
Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback.
IEEE J. Sel. Areas Inf. Theory, 2021

Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes.
CoRR, 2021

Collaborative Learning and Personalization in Multi-Agent Stochastic Linear Bandits.
CoRR, 2021

LocalNewton: Reducing Communication Bottleneck for Distributed Learning.
CoRR, 2021

Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience.
CoRR, 2021

LocalNewton: Reducing communication rounds for distributed learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers.
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.
Proceedings of the Information Theory and Applications Workshop, 2020

Some Performance Guarantees of Global LASSO with Local Assumptions for Convolutional Sparse Design Matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Max-affine regression with universal parameter estimation for small-ball designs.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Communication Efficient Distributed Approximate Newton Method.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Communication Efficient and Byzantine Tolerant Distributed Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Alternating Minimization Converges Super-Linearly for Mixed Linear Regression.
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.
J. Adv. Eng. Comput., 2019

Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation.
CoRR, 2019

Robust Federated Learning in a Heterogeneous Environment.
CoRR, 2019

Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm.
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.
IEEE Trans. Mob. Comput., 2018

Online Absolute Ranking with Partial Information: A Bipartite Graph Matching Approach.
CoRR, 2018

Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Online Scoring with Delayed Information: A Convex Optimization Viewpoint.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks.
ACM Trans. Sens. Networks, 2017

Misspecified Linear Bandits.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2014
Impromptu Deployment of Wireless Relay Networks: Experiences Along a Forest Trail.
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.
Int. J. Bio Inspired Comput., 2013

2012
Multi-robot Cooperative Box-pushing problem using Multi-objective Particle Swarm Optimization Technique
CoRR, 2012

An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm
CoRR, 2012

An Evolutionary Approach to Drug-Design Using a Novel Neighbourhood Based Genetic Algorithm
CoRR, 2012

Application of Integral Value Transformation (IVT) in a Specialized Computer Network Design
CoRR, 2012

Linear phase low pass FIR filter design using Genetic Particle Swarm Optimization with dynamically varying neighbourhood technique.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Integral Value Transformations: A Class of Affine Discrete Dynamical Systems and an Application
CoRR, 2011

Fractal String Generation and Its Application in Music Composition
CoRR, 2011

2009
Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT.
Proceedings of the ACL 2009, 2009

2008
Feature Extraction Using Fuzzy Rule Based System.
Int. J. Comput. Sci. Appl., 2008


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