Ketan Rajawat

Orcid: 0000-0002-4508-0062

According to our database1, Ketan Rajawat authored at least 111 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Optimized Gradient Tracking for Decentralized Online Learning.
IEEE Trans. Signal Process., 2024

Sharpened Lazy Incremental Quasi-Newton Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Stochastic Compositional Gradient Descent Under Compositional Constraints.
IEEE Trans. Signal Process., 2023

Proximal Algorithms for Smoothed Online Convex Optimization With Predictions.
IEEE Trans. Signal Process., 2023

Low-complexity subspace-descent over symmetric positive definite manifold.
CoRR, 2023

Distributed Optimisation under a Weight-unbalanced Digraph.
Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

2022
Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent.
IEEE Trans. Signal Process., 2022

Escaping Saddle Points for Successive Convex Approximation.
IEEE Trans. Signal Process., 2022

Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization.
IEEE Trans. Signal Process., 2022

Projection-Free Stochastic Bi-Level Optimization.
IEEE Trans. Signal Process., 2022

Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering.
IEEE Trans. Intell. Transp. Syst., 2022

A generalized framework for autonomous calibration of wheeled mobile robots.
Robotics Auton. Syst., 2022

Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood.
Proceedings of the International Conference on Machine Learning, 2022

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Dynamic Online Learning via Frank-Wolfe Algorithm.
IEEE Trans. Signal Process., 2021

Practical Precoding via Asynchronous Stochastic Successive Convex Approximation.
IEEE Trans. Signal Process., 2021

Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning.
IEEE Trans. Signal Process., 2021

Conservative Stochastic Optimization With Expectation Constraints.
IEEE Trans. Signal Process., 2021

Adaptive Kernel Learning in Heterogeneous Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Adaptive Network Latency Prediction From Noisy Measurements.
IEEE Trans. Netw. Serv. Manag., 2021

Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm.
IEEE Trans. Autom. Control., 2021

Joint User and Antenna Selection in Massive-MIMO Systems With QoS-Constraints.
IEEE Syst. J., 2021

Consistent online Gaussian process regression without the sample complexity bottleneck.
Stat. Comput., 2021

Projection-Free Algorithm for Stochastic Bi-level Optimization.
CoRR, 2021

Dynamic cache management in content delivery networks.
Comput. Networks, 2021

STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimizing QoS for Erasure-Coded Wireless Data Centers.
Proceedings of the ICC 2021, 2021

Momentum based Projection Free Stochastic Optimization Under Affine Constraints.
Proceedings of the 2021 American Control Conference, 2021

Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation.
Proceedings of the 2021 American Control Conference, 2021

Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying.
IEEE Trans. Signal Process., 2020

Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments.
IEEE Trans. Signal Process., 2020

Network Dissensus via Distributed ADMM.
IEEE Trans. Signal Process., 2020

Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency.
IEEE Signal Process. Mag., 2020

Optimal placement for repair-efficient erasure codes in geo-diverse storage centres.
J. Parallel Distributed Comput., 2020

Stochastic Compositional Gradient Descent under Compositional constraints.
CoRR, 2020

A Primal-Dual Framework for Decentralized Stochastic Optimization.
CoRR, 2020

Distributed Optimisation With Communication Delays.
CoRR, 2020

Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent.
CoRR, 2020

Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.
CoRR, 2020

Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion.
Proceedings of the International Conference on Signal Processing and Communications, 2020

SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems.
Proceedings of the 2020 National Conference on Communications, 2020

Projection Free Dynamic Online Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization.
Proceedings of the 2020 American Control Conference, 2020

Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Dictionary-Based Statistical Fingerprinting for Indoor Localization.
IEEE Trans. Veh. Technol., 2019

Online Learning With Inexact Proximal Online Gradient Descent Algorithms.
IEEE Trans. Signal Process., 2019

Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks.
IEEE Trans. Signal Process., 2019

Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Optimal Design of Queuing Systems via Compositional Stochastic Programming.
IEEE Trans. Commun., 2019

Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.
CoRR, 2019

Optimally Compressed Nonparametric Online Learning.
CoRR, 2019

Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony.
CoRR, 2019

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I.
CoRR, 2019

Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Model Free Calibration of Wheeled Robots Using Gaussian Process.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Online Utility-Optimal Trajectory Design for Time-Varying Ocean Environments.
Proceedings of the International Conference on Robotics and Automation, 2019

Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Online Variational Bayesian Subspace Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels.
Proceedings of the 2019 American Control Conference, 2019

2018
Distributed Sequential Estimation in Wireless Sensor Networks.
IEEE Trans. Wirel. Commun., 2018

Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation.
IEEE Trans. Signal Process., 2018

Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate.
IEEE Trans. Commun., 2018

Tracking Moving Agents via Inexact Online Gradient Descent Algorithm.
IEEE J. Sel. Top. Signal Process., 2018

Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems.
IET Cyper-Phys. Syst.: Theory & Appl., 2018

Wireless network optimization via stochastic sub-gradient descent: Rate analysis.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Dynamic Network Latency Prediction with Adaptive Matrix Completion.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis.
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

QOS-Based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

An Online Approach to D2D Trajectory Utility Maximization Problem.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Exact Nonparametric Decentralized Online Optimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Asynchronous Saddle Point Method: Interference Management Through Pricing.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Time Varying optimization via Inexact Proximal Online Gradient Descent.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

On Socially Optimal Traffic Flow in the Presence of Random Users.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018

2017
Adaptive Low-Rank Matrix Completion.
IEEE Trans. Signal Process., 2017

Stochastic Multidimensional Scaling.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Distributed asynchronous localization over WSNs via non-convex consensus ADMM.
Proceedings of the Twenty-third National Conference on Communications, 2017

Asynchronous resource allocation in distributed heterogeneous networks.
Proceedings of the IEEE International Conference on Communications, 2017

Optimal utilization of storage systems under real-time pricing.
Proceedings of the 2017 IEEE International Conference on Communications Workshops, 2017

Beyond consensus and synchrony in decentralized online optimization using saddle point method.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Cooperative Localization of Mobile Networks Via Velocity-Assisted Multidimensional Scaling.
IEEE Trans. Signal Process., 2016

Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks.
IEEE Trans. Commun., 2016

BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix.
IEEE Commun. Lett., 2016

BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Distributed interference alignment for MIMO cellular network via consensus ADMM.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Outlier-aware cooperative spectrum sensing in cognitive radio networks.
Phys. Commun., 2015

Channel-Aware Medium Access Control in Multichannel Cognitive Radio Networks.
IEEE Commun. Lett., 2015

Velocity-assisted multidimensional scaling.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

Online precoder design for parameter tracking in wireless sensor networks.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

2014
Prediction of Partially Observed Dynamical Processes Over Networks via Dictionary Learning.
IEEE Trans. Signal Process., 2014

Dynamic Network Delay Cartography.
IEEE Trans. Inf. Theory, 2014

New encoding schemes for efficient multilingual text messaging.
Proceedings of the Twentieth National Conference on Communications, 2014

2013
Dynamic Network Cartography: Advances in Network Health Monitoring.
IEEE Signal Process. Mag., 2013

2012
Network-Compressive Coding for Wireless Sensors with Correlated Data.
IEEE Trans. Wirel. Commun., 2012

Dynamic Network Cartography
CoRR, 2012

Dynamic network kriging.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Semi-supervised dictionary learning for network-wide link load prediction.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Joint Scheduling and Network Coding for Multicast in Delay-Constrained Wireless Networks.
IEEE Trans. Signal Process., 2011

Cross-Layer Designs in Coded Wireless Fading Networks With Multicast.
IEEE/ACM Trans. Netw., 2011

Cross-Layer Design of Coded Multicast for Wireless Random Access Networks.
IEEE J. Sel. Areas Commun., 2011

Joint rate and power control for coded cognitive radio networks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Near optimal training sequences for low complexity symbol timing estimation in MIMO systems.
IEEE Trans. Commun., 2010

2009
An algebraic polyphase approach to wireless network coding.
Proceedings of the IEEE International Conference on Acoustics, 2009

2007
Selection Relaying at Low Signal to Noise Ratios
CoRR, 2007

Non-Data Aided Symbol Timing Estimation in MIMO Systems.
Proceedings of IEEE International Conference on Communications, 2007

2006
A low complexity symbol timing estimator for MIMO systems using two samples per symbol.
IEEE Commun. Lett., 2006


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