Kushal Chakrabarti

34 papers A 1C 3Misc 1Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Head Attention Is a Multi-Player Game.
CoRR
Kushal Chakrabarti, Nirmal Balachundar
2025 J jnl
Neural Diversity Regularizes Hallucinations in Small Models.
CoRR
Kushal Chakrabarti, Nirmal Balachundhar
2025 — conf
On Model Protection in Federated Learning against Eavesdropping Attacks.
CDC
Dipankar Maity, Kushal Chakrabarti
2025 J jnl
On Model Protection in Federated Learning against Eavesdropping Attacks.
CoRR
Dipankar Maity, Kushal Chakrabarti
2024 A conf
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality.
ECAI
Kushal Chakrabarti, Mayank Baranwal
2024 J jnl
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality.
CoRR
Kushal Chakrabarti, Mayank Baranwal
2024 J jnl
A control theoretic framework for adaptive gradient optimizers.
Autom.
Kushal Chakrabarti, Nikhil Chopra
2024 J jnl
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates.
CoRR
Mayank Baranwal, Kushal Chakrabarti
2024 J jnl
Novel Iteratively Preconditioned Gradient-Descent Algorithm via Successive Over-Relaxation Formulation.
IEEE Control. Syst. Lett.
Tianchen Liu, Kushal Chakrabarti, Nikhil Chopra
2024 J jnl
On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer.
CoRR
Kushal Chakrabarti, Nikhil Chopra
2024 J jnl
On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer.
IEEE Control. Syst. Lett.
Kushal Chakrabarti, Nikhil Chopra
2024 — conf
Variant Predictor-Corrector Method for Linear Predictive Control Using Modified Uzawa Algorithm.
CDC
Tianchen Liu, Kushal Chakrabarti, Nikhil Chopra
2023 C conf
IPG Observer: A Newton-Type Observer Robust to Measurement Noise.
ACC
Kushal Chakrabarti, Nikhil Chopra
2023 — conf
Iteratively Preconditioned Gradient-Descent Approach for Moving Horizon Estimation Problems.
CDC
Tianchen Liu, Kushal Chakrabarti, Nikhil Chopra
2023 J jnl
Iteratively Preconditioned Gradient-Descent Approach for Moving Horizon Estimation Problems.
CoRR
Tianchen Liu, Kushal Chakrabarti, Nikhil Chopra
2023 J jnl
Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity.
CoRR
Kushal Chakrabarti, Mayank Baranwal
2023 Misc conf
Quantum Circuit Optimization through Iteratively Pre-Conditioned Gradient Descent.
QCE
Dhruv Srinivasan, Kushal Chakrabarti, Nikhil Chopra, Avik Dutt
2022 J jnl
A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning.
CoRR
Kushal Chakrabarti, Nikhil Chopra
2022 — conf
Analysis and Synthesis of Adaptive Gradient Algorithms in Machine Learning: The Case of AdaBound and MAdamSSM.
CDC
Kushal Chakrabarti, Nikhil Chopra
2022 — —
Control Theory-Inspired Acceleration of the Gradient-Descent Method: Centralized and Distributed.
Kushal Chakrabarti
2022 — conf
Fast Distributed Beamforming without Receiver Feedback.
IEEECONF
Kushal Chakrabarti, Amrit S. Bedi, Fikadu T. Dagefu, Jeffrey N. Twigg, Nikhil Chopra
2022 J jnl
Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem.
Autom.
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2022 J jnl
On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations.
IEEE Trans. Control. Netw. Syst.
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2021 — conf
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning.
L4DC
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2021 — conf
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective.
CDC
Kushal Chakrabarti, Nikhil Chopra
2021 J jnl
Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective.
CoRR
Kushal Chakrabarti, Nikhil Chopra
2021 J jnl
On Accelerating Distributed Convex Optimizations.
CoRR
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2021 C conf
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem.
ACC
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2021 J jnl
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem.
CoRR
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2021 J jnl
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem.
IEEE Control. Syst. Lett.
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2020 J jnl
Accelerating Distributed SGD for Linear Linear Regression using Iterative Pre-Conditioning.
CoRR
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2020 J jnl
Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem.
CoRR
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2020 C conf
Iterative Pre-Conditioning to Expedite the Gradient-Descent Method.
ACC
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
2020 J jnl
Iterative Pre-Conditioning to Expedite the Gradient-Descent Method.
CoRR
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra