Ramtin Madani

According to our database1, Ramtin Madani authored at least 33 papers between 2010 and 2020.

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

Timeline

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Links

On csauthors.net:

Bibliography

2020
Conic Optimization for Quadratic Regression Under Sparse Noise.
J. Mach. Learn. Res., 2020

Penalized semidefinite programming for quadratically-constrained quadratic optimization.
J. Glob. Optim., 2020

A survey on conic relaxations of optimal power flow problem.
Eur. J. Oper. Res., 2020

Multi-Agent Motion Planning using Deep Learning for Space Applications.
CoRR, 2020

Fast Linear Programming Optimization Using Crossbar-Based Analog Accelerator.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

2019
Convexification of Power Flow Equations in the Presence of Noisy Measurements.
IEEE Trans. Autom. Control., 2019

Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Conic Relaxations for Power System State Estimation With Line Measurements.
IEEE Trans. Control. Netw. Syst., 2018

A Low-Complexity Parallelizable Numerical Algorithm for Sparse Semidefinite Programming.
IEEE Trans. Control. Netw. Syst., 2018

Sequential Relaxation of Unit Commitment with AC Transmission Constraints.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Penalized Parabolic Relaxation for Optimal Power Flow Problem.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Conic Optimization for Robust Quadratic Regression: Deterministic Bounds and Statistical Analysis.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convex Relaxation of Bilinear Matrix Inequalities Part II: Applications to Optimal Control Synthesis.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Convex Relaxation of Bilinear Matrix Inequalities Part I: Theoretical Results.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Convex Relaxation for Optimal Distributed Control Problems.
IEEE Trans. Autom. Control., 2017

Finding Low-rank Solutions of Sparse Linear Matrix Inequalities using Convex Optimization.
SIAM J. Optim., 2017

Power System State Estimation and Bad Data Detection by Means of Conic Relaxation.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
Power system state estimation with line measurements.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Power system state estimation with a limited number of measurements.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Characterization of rank-constrained feasibility problems via a finite number of convex programs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Convexification of power flow problem over arbitrary networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

ADMM for sparse semidefinite programming with applications to optimal power flow problem.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Inverse function theorem for polynomial equations using semidefinite programming.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Graph-theoretic algorithms for polynomial optimization problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Low-rank solutions of matrix inequalities with applications to polynomial optimization and matrix completion problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Convex relaxation for optimal distributed control problem.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Promises of conic relaxation for contingency-constrained optimal power flow problem.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Efficient convex relaxation for stochastic optimal distributed control problem.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Low-rank solution of convex relaxation for optimal power flow problem.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Convex relaxation for optimal power flow problem: Mesh networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Optimized Compact-Support Interpolation Kernels.
IEEE Trans. Signal Process., 2012

Image segmentation with background correction using a multiplicative smoothing-spline model.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2010
Optimized Spline Interpolation
CoRR, 2010


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