Ketan Rajawat

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 110

Top Venues

CoRR

IEEE Trans. Signal Process.

ACSSC

ICASSP

Publications

Shivangi Dubey Sharma, Ketan Rajawat
Optimized Gradient Tracking for Decentralized Online Learning. IEEE Trans. Signal Process. 72 (2024)
Aakash Sunil Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel
Sharpened Lazy Incremental Quasi-Newton Method. AISTATS (2024)
Spandan Senapati, Ashwin Shenai, Ketan Rajawat
Proximal Algorithms for Smoothed Online Convex Optimization With Predictions. IEEE Trans. Signal Process. 71 (2023)
Aakash Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel
Sharpened Lazy Incremental Quasi-Newton Method. CoRR (2023)
Yogesh Darmwal, Ketan Rajawat
Low-complexity subspace-descent over symmetric positive definite manifold. CoRR (2023)
Srujan Teja Thomdapu, Harsh Vardhan, Ketan Rajawat
Stochastic Compositional Gradient Descent Under Compositional Constraints. IEEE Trans. Signal Process. 71 (2023)
Prateek Priyaranjan Pradhan, Arijit Sen, Mangal Kothari, Ketan Rajawat
Distributed Optimisation under a Weight-unbalanced Digraph. ICARA (2023)
Shivangi Dubey Sharma, Ketan Rajawat
Optimized Gradient Tracking for Decentralized Online Learning. CoRR (2023)
Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML (2022)
Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. ICML (2022)
Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat
Projection-Free Stochastic Bi-Level Optimization. IEEE Trans. Signal Process. 70 (2022)
Hrusikesha Pradhan, Ketan Rajawat
A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning. IEEECONF (2022)
Hrusikesha Pradhan, Alec Koppel, Ketan Rajawat
On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection. ICASSP (2022)
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent. IEEE Trans. Signal Process. 70 (2022)
Charul Paliwal, Uttkarsha Bhatt, Pravesh Biyani, Ketan Rajawat
Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering. IEEE Trans. Intell. Transp. Syst. 23 (5) (2022)
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR (2022)
Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde
A generalized framework for autonomous calibration of wheeled mobile robots. Robotics Auton. Syst. 158 (2022)
Zeeshan Akhtar, Ketan Rajawat
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. IEEE Trans. Signal Process. 70 (2022)
Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, Alec Koppel
Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. 70 (2022)
Ruchi Tripathi, Ketan Rajawat
Adaptive Network Latency Prediction From Noisy Measurements. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Basil M. Idrees, Javed Akhtar, Ketan Rajawat
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation. IEEE Trans. Signal Process. 69 (2021)
Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
Conservative Stochastic Optimization With Expectation Constraints. IEEE Trans. Signal Process. 69 (2021)
Srujan Teja Thomdapu, Ketan Rajawat
Optimizing QoS for Erasure-Coded Wireless Data Centers. ICC (2021)
Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat
Consistent online Gaussian process regression without the sample complexity bottleneck. Stat. Comput. 31 (6) (2021)
Javed Akhtar, Ketan Rajawat, Vipul Gupta, Ajit Kumar Chaturvedi
Joint User and Antenna Selection in Massive-MIMO Systems With QoS-Constraints. IEEE Syst. J. 15 (1) (2021)
Deepak S. Kalhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Hamed Hassani, Abhishek K. Gupta, Adrish Banerjee
Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. 69 (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS (2021)
Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat
Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm. IEEE Trans. Autom. Control. 66 (11) (2021)
Srujan Teja Thomdapu, Palash Katiyar, Ketan Rajawat
Dynamic cache management in content delivery networks. Comput. Networks 187 (2021)
Zeeshan Akhtar, Ketan Rajawat
Momentum based Projection Free Stochastic Optimization Under Affine Constraints. ACC (2021)
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space. ACSCC (2021)
Zeeshan Akhtar, Ketan Rajawat
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. CoRR (2021)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Panchajanya Sanyal
Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning. IEEE Trans. Signal Process. 69 (2021)
Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation. ACC (2021)
Zeeshan Akhtar, Amrit Singh Bedi, Srujan Teja Thomdapu, Ketan Rajawat
Projection-Free Algorithm for Stochastic Bi-level Optimization. CoRR (2021)
Srujan Teja Thomdapu, Ketan Rajawat
Optimizing QoS for Erasure-Coded Wireless Data Centers. CoRR (2021)
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Adaptive Kernel Learning in Heterogeneous Networks. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR (2021)
Zeeshan Akhtar, Amrit Singh Bedi, Ketan Rajawat
Conservative Stochastic Optimization with Expectation Constraints. CoRR (2020)
Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde
A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots. CoRR (2020)
Harsha Vardhan, Ruchi Tripathi, Ketan Rajawat
Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion. SPCOM (2020)
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. CoRR (2020)
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. 37 (3) (2020)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC (2020)
Srujan Teja Thomdapu, Harshvardhan, Ketan Rajawat
Stochastic Compositional Gradient Descent under Compositional constraints. CoRR (2020)
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent. CoRR (2020)
Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta, Adrish Banerjee
Projection Free Dynamic Online Learning. ICASSP (2020)
Srujan Teja Thomdapu, Palash Katiyar, Ketan Rajawat
Dynamic Cache Management In Content Delivery Networks. CoRR (2020)
Chirag Kumar, Ketan Rajawat
Network Dissensus via Distributed ADMM. IEEE Trans. Signal Process. 68 (2020)
Hrusikesha Pradhan, Rohit Budhiraja, Ketan Rajawat
Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying. IEEE Trans. Signal Process. 68 (2020)
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. ACSSC (2020)
Shuubham Ojha, Ketan Rajawat
Distributed Optimisation With Communication Delays. CoRR (2020)
Basil M. Idrees, Javed Akhtar, Ketan Rajawat
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation. CoRR (2020)
Mohan Krishna Nutalapati, Amrit Singh Bedi, Ketan Rajawat, Marceau Coupechoux
Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments. IEEE Trans. Signal Process. 68 (2020)
Lijanshu Sinha, Ketan Rajawat, Chirag Kumar
SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems. NCC (2020)
Ketan Rajawat, Chirag Kumar
A Primal-Dual Framework for Decentralized Stochastic Optimization. CoRR (2020)
Alec Koppel, Hrusikesha Pradhan, Ketan Rajawat
Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck. CoRR (2020)
Lakshmi J. Mohan, Ketan Rajawat, Udaya Parampalli, Aaron Harwood
Optimal placement for repair-efficient erasure codes in geo-diverse storage centres. J. Parallel Distributed Comput. 135 (2020)
Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde
Model Free Calibration of Wheeled Robots Using Gaussian Process. IROS (2019)
Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M. Hegde
Model Free Calibration of Wheeled Robots Using Gaussian Process. CoRR (2019)
Chirag Kumar, Ketan Rajawat
Network Dissensus via Distributed ADMM. ACSSC (2019)
Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat
Online Learning With Inexact Proximal Online Gradient Descent Algorithms. IEEE Trans. Signal Process. 67 (5) (2019)
Alec Koppel, Amrit S. Bedi, Ketan Rajawat
Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels. ACC (2019)
Javed Akhtar, Ketan Rajawat
Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems. WCNC Workshops (2019)
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. CoRR (2019)
Charul, Uttkarsha Bhatt, Pravesh Biyani, Ketan Rajawat
Online Variational Bayesian Subspace Filtering. ICASSP (2019)
Srujan Teja Thomdapu, Ketan Rajawat
Optimal Design of Queuing Systems via Compositional Stochastic Programming. IEEE Trans. Commun. 67 (12) (2019)
Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm. CoRR (2019)
Srujan Teja Thomdapu, Ketan Rajawat
Optimal Design of Queuing Systems via Compositional Stochastic Programming. CoRR (2019)
Mohan Krishna Nutalapati, Shruti Joshi, Ketan Rajawat
Online Utility-Optimal Trajectory Design for Time-Varying Ocean Environments. ICRA (2019)
Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat, Alec Koppel
Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent. CDC (2019)
Chirag Kumar, Ketan Rajawat
Dictionary-Based Statistical Fingerprinting for Indoor Localization. IEEE Trans. Veh. Technol. 68 (9) (2019)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR (2019)
Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I. CoRR (2019)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints. IEEE Trans. Signal Inf. Process. over Networks 5 (3) (2019)
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler
Optimally Compressed Nonparametric Online Learning. CoRR (2019)
Srujan Teja Thomdapu, Ketan Rajawat
Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. ICC (2019)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks. IEEE Trans. Signal Process. 67 (7) (2019)
Amrit Singh Bedi, Ketan Rajawat
Wireless network optimization via stochastic sub-gradient descent: Rate analysis. WCNC (2018)
Amrit S. Bedi, Paban Sarma, Ketan Rajawat
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. IEEE J. Sel. Top. Signal Process. 12 (1) (2018)
Amrit Singh Bedi, Ketan Rajawat
Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate. IEEE Trans. Commun. 66 (5) (2018)
Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat
On Socially Optimal Traffic Flow in the Presence of Random Users. CoRR (2018)
Meher Preetam Korukonda, Swaroop Ranjan Mishra, Ketan Rajawat, Laxmidhar Behera
Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems. IET Cyper-Phys. Syst.: Theory & Appl. 3 (1) (2018)
Ruchi Tripathi, Ketan Rajawat
Dynamic Network Latency Prediction with Adaptive Matrix Completion. SPCOM (2018)
Srujan Teja Thomdapu, Ketan Rajawat
Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. CoRR (2018)
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Exact Nonparametric Decentralized Online Optimization. GlobalSIP (2018)
Amrit Singh Bedi, Paban Sarma, Ketan Rajawat
Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. ICASSP (2018)
Rishabh Dixit, Amrit Singh Bedi, Ruchi Tripathi, Ketan Rajawat
Time Varying optimization via Inexact Proximal Online Gradient Descent. ACSSC (2018)
Amrit S. Bedi, Ketan Rajawat, Marceau Coupechoux
An Online Approach to D2D Trajectory Utility Maximization Problem. INFOCOM (2018)
Amrit Singh Bedi, Hrusikesha Pradhan, Ketan Rajawat
Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis. SPCOM (2018)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Asynchronous Saddle Point Method: Interference Management Through Pricing. CDC (2018)
Amrit S. Bedi, Ketan Rajawat
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. IEEE Trans. Signal Process. 66 (9) (2018)
Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat
On Socially Optimal Traffic Flow in the Presence of Random Users. ANTS (2018)
Javed Akhtar, Ketan Rajawat
Distributed Sequential Estimation in Wireless Sensor Networks. IEEE Trans. Wirel. Commun. 17 (1) (2018)
Javed Akhtar, Ketan Rajawat
QOS-Based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems. SPAWC (2018)
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
Beyond consensus and synchrony in decentralized online optimization using saddle point method. ACSSC (2017)
Ketan Rajawat, Sandeep Kumar
Stochastic Multidimensional Scaling. IEEE Trans. Signal Inf. Process. over Networks 3 (2) (2017)
Sandeep Kumar, Rahul Jain, Ketan Rajawat
Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM. IEEE Trans. Signal Inf. Process. over Networks 3 (1) (2017)
Amrit S. Bedi, Ketan Rajawat
Asynchronous resource allocation in distributed heterogeneous networks. ICC (2017)
Amrit S. Bedi, Md. Waseem Ahmad, Ketan Rajawat, Sandeep Anand
Optimal utilization of storage systems under real-time pricing. ICC Workshops (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ketan Rajawat