Machine Learning Auto Tuning Modulation 6g

Posted on by admin
Department of Electrical Engineering,Stanford University

In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters are learned. The same kind of machine learning model can require different constraints, weights or learning. Artificial intelligence (AI) or machine learning will definitely play important role in 6G and can widely be used in many technical fields. Hence, it is discussed in conjunction to above-mentioned potential. (Compiler auto-tuning using machine learning) on the top journal of my field, the ACM Transactions Architecture and Code Optimization (TACO). The obtained result were.

Jul 07, 2016 Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. May 01, 2017  Machine learning seems to be the new hot topic these days. Everybody's talking about how machines are beating human players in chess, Jeopardy, and now even Go. In the future, artificial. While the role of performance engineer will not disappear anytime soon, machine learning is making tuning systems—everything from CPUs to application specific parameters—less of a burden. While the role of performance engineer will not disappear anytime soon, machine learning is making tuning systems—everything from CPUs to application specific parameters—less of a burden.

Google Scholarlists papers by citation count order.

Papers are listed below by year of submission before they arepublished, or year of publication.

2020

Fitting Laplacian regularized stratified Gaussian models

J. Tuck and S. Boyd

Multi-period liability clearingvia convex optimal control

S. Barratt and S. Boyd

Minimizing a sum of clipped convex functions

S. Barratt, G. Angeris, and S. Boyd

Convex optimization over risk-neutral probabilities

S. Barratt, J. Tuck, and S. Boyd

Least squares auto-tuning

S. Barratt and S. Boyd

A new heuristic for physical design

G. Angeris, J. Vuckovic, and S. Boyd

SWIFTCORE: A tool for context-specific reconstruction of genome-scale metabolic networks

M. Tefagh and S. Boyd

Network optimization for unified packet and circuit switched networks

P. Yin, S. Diamond, B. Lin, and S. Boyd

OSQP: An operator splitting solver for quadratic programs

B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd

On the convergence of mirror descent beyond stochastic convex programming

Z. Zhou, P. Mertikopoulos, N. Bambos, S. Boyd, and P. Glynn

Automatic repair of convex optimization problems

S. Barratt, G. Angeris, and S. Boyd

A simple effective heuristic for embedded mixed-integer quadratic programming

R. Takapoui, N. Moehle, S. Boyd, and A. Bemporad

Eigen-stratified models

J. Tuck and S. Boyd

Fitting a linear control policy to demonstrations with a Kalman constraint

M. Palan, S. Barratt, A. McCauley, D. Sadigh, V. Sindhwani, and S. Boyd

Fitting a Kalman smoother to data

S. Barratt and S. Boyd

Disciplined quasiconvex programming

A. Agrawal and S. Boyd

2019

Learning convex optimization control policies

A. Agrawal, S. Barratt, S. Boyd, and B. Stellato.

Extracting a low-dimensional time series

Y. Dong and S. Boyd

Solution refinement at regular points of conic problems

E. Busseti, W. Moursi, and S. Boyd

Differentiable convex optimization layers

A. Agrawal, B. Amos, S. Barratt, S. Boyd, S. Diamond, and J. Zico Kolter

Multi-period portfolio selection with drawdown control

P. Nystrup, S. Boyd, E. Lindstrom, and H. Madsen

Dynamic energy management

N. Moehle, E. Busseti, S. Boyd, and M. Wytock

Greedy Gaussian segmentation of multivariate time series

D. Hallac, P. Nystrup, and S. Boyd

Learning probabilistic trajectory models of aircraft in terminal airspace from position data

S. Barratt, M. Kochenderfer, and S. Boyd

Differentiating through a cone program

A. Agrawal, S. Barratt, S. Boyd, E. Busseti, and W. Moursi

Anderson accelerated Douglas-Rachford splitting

A. Fu, J. Zhang, and S. Boyd

Real time radiation treatment planning with optimality guarantees viacluster and bound methods

B. Ungun, L. Xing, and S. Boyd

Infeasibility detection in the alternatingdirection method of multipliers for convex optimization

G. Banjac, P. Goulart, B. Stellato, and S. Boyd

A general optimization framework for dynamic time warping

D. Deriso and S. Boyd

Distributed majorization-minimization for Laplacian regularized problems

J. Tuck, D. Hallac, and S. Boyd

Computational bounds for photonic inverse design

G. Angeris, J. Vuckovic, and S. Boyd

A distributed method for fitting Laplacian regularized stratified models

J. Tuck, S. Barratt, and S. Boyd

A distributed method for optimal capacity reservation

N. Moehle, X. Shen, Z.-Q. Luo, and S. Boyd

Disciplined geometric programming

A. Agrawal, S. Diamond, and S. Boyd

CVXR: An R Package for disciplined convex optimization

A. Fu, B. Narasimhan, and S. Boyd

A convex optimization approach to radiation treatment planning with dose constraints

A. Fu, B. Ungun, L. Xing, and S. Boyd

Quantitative flux coupling analysis

M. Tefagh and S. Boyd

2018

Distributional robust Kelly gambling

Q. Sun and S. Boyd

End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

V. Sitzmann, S. Diamond, Y. Peng, X. Dun, S. Boyd, W. Heidrich, F. Heide, and G. Wetzstein

Stochastic control with affine dynamics and extended quadratic costs

S. Barratt and S. Boyd

Dirty pixels: optimizing image classification architectures for raw sensor data

S. Diamond, V. Sitzmann, S. Boyd, G. Wetzstein, and F. Heide

Fitting jump models

A. Bemporad, V. Breschi, D. Piga, and S. Boyd

Globally convergent type-I Anderson acceleration for non-smooth fixed-point iterations

J. Zhang, B. O'Donoghue, and S. Boyd

A semidefinite programming method for integer convex quadratic minimization

J. Park and S. Boyd

Parameter selection and pre-conditioning for a graph form solver

C. Fougner and S. Boyd

A rewriting system for convex optimization problems

A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd

A general system for heuristic solution of convex problems over nonconvex sets

S. Diamond, R. Takapoui, and S. Boyd

Saturating splines and feature selection

N. Boyd, T. Hastie, S. Boyd, S. Recht, and M. Jordan

2017

Stochastic proximal iteration: Anon-asymptotic improvement uponstochastic gradient descent

E. Ryu and S. Boyd

Embedded code generation using the OSQP solver

G. Banjac, B. Stellato, N. Moehle, P. Goulart, A. Bemporad and S. Boyd

Toeplitz inverse covariance-based clustering of multivariate time series data

D. Hallac, S. Vare, S. Boyd, and J. Leskovec

Network inference via the time-varying graphical lasso

D. Hallac, Y. Park, S. Boyd, and J. Leskovec

Dynamic resource allocation for energy efficient transmission in digital subscriber lines

N. Zhang, Z. Yao, Y. Liu, S. Boyd, and Z.-Q. Luo

Dynamic energy management with scenario-based robust MPC

M. Wytock, N. Moehle, and S. Boyd

Multi-period trading via convex optimization

S. Boyd, E. Busseti, S. Diamond, R. Kahn, K. Koh, P. Nystrup, and J. Speth

General heuristics for nonconvex quadratically constrained quadratic programming

J. Park and S. Boyd

Learning the network structure of heterogeneous data via pairwise exponential Markov random fields

Y. Park, D. Hallac, S. Boyd, and J. Leskovec

Value function approximation for direct control of switched power converters

N. Moehle and S. Boyd

Stochastic matrix-free equilibration

S. Diamond and S. Boyd

Linear convergence and metric selection in Douglas-Rachford splitting and ADMM

P. Giselsson and S. Boyd

SnapVX: A network-based convex optimization solver

D. Hallac, C. Wong, S. Diamond, A. Sharang, R. Sosic, S. Boyd, and J. Leskovec.

2016

Maximum torque-per-current waveform design for induction motors via semidefinite programming

N. Moehle and S. Boyd

Antagonistic control

T. Lipp and S. Boyd

Optimization of rotational arc station parameter optimized radiation therapy

P. Dong, B. Ungun, S. Boyd, and L. Xing

A new architecture for optimization modeling frameworks

M. Wytock, S. Diamond, F. Heide, and S. Boyd

Linear programming heuristics for the graph isomorphism problem

R. Takapoui and S. Boyd

Matrix-free convex optimization modeling

S. Diamond and S. Boyd

A differential equation for modeling Nesterov’s accelerated gradient method

W. Su, S. Boyd, and E. Candes

Concave quadratic cuts for mixed-integer quadratic problems

J. Park and S. Boyd

Disciplined multi-convex programming

X. Shen, S. Diamond, M. Udell, Y. Gu, and S. Boyd

Generalized low rank models

M. Udell, C. Horn, R. Zadeh, and S. Boyd

Line search for averaged operator iteration

P. Giselsson, M. Fält, and S. Boyd

Variations and extensions of the convex-concave procedure

T. Lipp and S. Boyd

Disciplined convex-concave programming

X. Shen, S. Diamond, Y. Gu, and S. Boyd

Risk-constrained Kelly gambling

E. Busseti, E. Ryu, and S. Boyd

Conic optimization via operator splitting and homogeneous self-dual embedding

B. O'Donoghue, E. Chu, N. Parikh, and S. Boyd

Bounding duality gap for problems with separable objective

M. Udell and S. Boyd

Optimal current waveforms for switched reluctance motors

N. Moehle and S. Boyd

CVXPY: A python-embedded modeling language for convex optimization

S. Diamond and S. Boyd

A primer on monotone operator methods

E. Ryu and S. Boyd

MIMO PID tuning via iterated LMI restriction

S. Boyd, M. Hast, and K. J. Astrom

Modulation

2015

Metric selection in fast dual forward backward splitting

P. Giselsson and S. Boyd

Model predictive control for wind power gradients

T. Hovgaard, S. Boyd, and J. Jørgensen

A perspective-based convex relaxation for switched-affine optimal control

N. Moehle and S. Boyd

Volume weighted average price optimal execution

E. Busseti and S. Boyd

Extensions of Gauss quadrature via linear programming

E. Ryu and S. Boyd

Optimal current waveforms for brushless permanent magnet motors

N. Moehle and S. Boyd

Disciplined convex stochastic programming: A new framework for stochastic optimization

A. Ali, Z. Kolter, S. Diamond, and S. Boyd

Convex optimization short course

S. Boyd, S. Diamond, and J. Park

Linear models based on noisy data and the Frisch scheme

L. Ning, T. Georgiou, A. Tannenbaum, and S. Boyd

Network lasso: Clustering and optimization in large graphs

D. Hallac, J. Leskovec, and S. Boyd

Russell Severance Springer lectures

S. Boyd

Approximate dynamic programming via iterated Bellman inequalities

Y. Wang, B. O'Donoghue, and S. Boyd

2014

Adaptive importance sampling via stochastic convex programming

E. Ryu and S. Boyd

Convex optimization in Julia

M. Udell, K. Mohan, D. Zeng, J. Hong, S. Diamond, and S. Boyd

Diagonal scaling in Douglas-Rachford splitting and ADMM

P. Giselsson and S. Boyd

Preconditioning in fast dual gradient methods

P. Giselsson and S. Boyd

Monotonicity and restart in fast gradient methods

P. Giselsson and S. Boyd

Optimal crowd-powered rating and filtering algorithms

A. Parameswaran, S. Boyd, H. Garcia-Molina, A. Gupta, N. Polyzotis, and J. Widom

IEEE control systems award acceptance speech

S. Boyd

Security constrained optimal power flow via proximal message passing

S. Chakrabarti, M. Kraning, E. Chu, R. Baldick, and S. Boyd

Block splitting for distributed optimization

N. Parikh and S. Boyd

Quadratic approximate dynamic programming for input-affine systems

A. Keshavarz and S. Boyd

Minimum-time speed optimization over a fixed path

T. Lipp and S. Boyd

Proximal algorithms

N. Parikh and S. Boyd

Performance bounds and suboptimal policies for multi-period investment

S. Boyd, M. Mueller, B. O'Donoghue, and Y. Wang

Dynamic network energy management viaproximal message passing

M. Kraning, E. Chu, J. Lavaei, and S. Boyd

2013

A primal-dual operator splitting method forconic optimization

E. Chu, B. O'Donoghue, N. Parikh, and S. Boyd

Risk group detection and survival function estimation for interval coded survival methods

V. Van Belle, P. Neven, V. Harvey, S. Van Huffel, J. Suykens, and S. Boyd

A splitting method for optimal control

B. O'Donoghue, G. Stathopoulos, and S. Boyd

Maximizing a sum of sigmoids

M. Udell and S. Boyd

Cost optimal operation of thermal energy storage system with real-time prices

T. Kashima and S. Boyd

PID design by convex-concave optimization

M. Hast, K. Astrom, B. Bernhardsson, and S. Boyd

ECOS: An SOCP solver for embedded systems

A. Domahidi, E. Chu, and S. Boyd

Code generation for embedded second-order cone programming

E. Chu, N. Parikh, A. Domahidi, and S. Boyd

Iterated approximate value functions

B. O'Donoghue, Y. Wang, and S. Boyd

A distributed algorithm for fitting generalized additive models

E. Chu, A. Keshavarz, and S. Boyd

Nonconvex model predictive control for commercial refrigeration

T. Hovgaard, L. Larsen, J. Jørgensen, and S. Boyd

2012

Accuracy at the top

S. Boyd, C. Cortes, M. Mohri, and A. Radovanovic

Robust optimization of adiabatic tapers for coupling to slow-light photonic-crystal waveguides

A Oskooi, A. Mutapcic, S. Noda, J. Joannopulos, S. Boyd, and S. Johnson

A mathematical model for interpretable clinical decision support with applications in gynecology

V. Van Belle, B. Van Calster, D. Timmerman, T. Bourne, C. Bottomley, L.Valentin, P. Neven, S. Van Huffel, J. Suykens, and S. Boyd

An ADMM algorithm for a class of total variation regularized estimation problems

B. Wahlberg, S. Boyd, M. Annergren, and Y. Wang

Moving horizon estimation for staged QP problems

E. Chu, A. Keshvarz, D. Gorinevsky, and S. Boyd

CVXGEN: A code generator for embedded convex optimization

J. Mattingley and S. Boyd

Smoothed state estimates under abrupt changes using sum-of-norms regularization

H. Ohlsson, F. Gustafsson, L. Ljung, and S. Boyd

2011

Block splitting for large-scale distributed learning

N. Parikh and S. Boyd

Performance bounds and suboptimalpolicies for linear stochastic control via LMIs

Y. Wang and S. Boyd

Min-max approximate dynamic programming

B. O'Donoghue, Y. Wang, and S. Boyd

Wind turbine pitch optimization

B. Biegel, M. Juelsgaard, M. Kraning, S. Boyd, and J. Stoustrup

Imputing a convex objective function

A. Keshavarz, Y. Wang, and S. Boyd

Load reduction of wind turbines usingreceding horizon control

M. Soltani, R. Wisniewski, P. Brath, and S. Boyd

Scalable statistical monitoring of fleet data

E. Chu, D. Gorinevsky, and S. Boyd

Operation and configuration of a storage portfolio via convex optimization

M. Kraning, Y. Wang, E. Akuiyibo, and S. Boyd

Controller coefficient truncation usingLyapunov performance certificate

J. Skaf and S. Boyd

Self-tuning for maximized lifetime energy-efficiency in the presence of circuit aging

E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra

Fast evaluation of quadratic control-Lyapunovpolicy

Y. Wang and S. Boyd

Distributed optimization and statistical learning via the alternating direction method of multipliers

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein

Receding horizon control: Automatic generation of high-speed solvers

J. Mattingley, Y. Wang, and S. Boyd

Inferring stable genetic networks from steady-state data

M. Zavlanos, A. Julius, S. Boyd, and G. Pappas

Inverse design of a three-dimensional nanophotonic resonator

J. Lu, S. Boyd, and J. Vuckovic

2010

Design of affine controllers via convex optimization

J. Skaf and S. Boyd

Techniques for exploring the suboptimal set

Machine Learning Auto Tuning Modulation 6g In Mg

J. Skaf and S. Boyd

Segmentation of ARX-models using sum-of-norms regularization

H. Olson, L. Ljung, and S. Boyd

Compressed sensing based cone-beam computed tomography reconstruction with a first-order method

K. Choi, J. Wang, L. Zhu, T. Suh, S. Boyd, and L. Xing

Real-time convex optimization in signal processing

J. Mattingley and S. Boyd

Adaptive modulation with smoothed flow utility

E. Akuiyibo and S. Boyd

Detecting aircraft performance anomalies from cruise flight data

E. Chu, D. Gorinesky, and S. Boyd

Auto
Shrinking-horizon dynamic programming

J. Skaf, S. Boyd,and A. Zeevi

Optimizing adaptive modulation in wireless networks via multi-period network utility maximization

D. O'Neill, E. Akuiyibo, S. Boyd, and A. Goldsmith

Fast algorithms for resource allocation in wireless cellular networks

R. Madan, S. Boyd, and S. Lall

Fast model predictive control using onlineoptimization

Y. Wang and S. Boyd

Automatic code generation for real-time convex optimization

J. Mattingley and S. Boyd

Mixed linear system estimation and identification

A. Zymnis, S. Boyd, and D. Gorinevsky

Compressed sensing with quantized measurements

A. Zymnis, S. Boyd, and E. Candes

2009

An efficient method for large-scale slack allocation

S. Joshi and S. Boyd

Estimation of faults in DC electrical powersystem

D. Gorinevsky, S. Boyd, and S. Poll

Nonlinear Q-design for convex stochastic control

J. Skaf and S. Boyd

Processor speed control with thermalconstraints

A. Mutapcic, S. Boyd, S. Murali, D. Atienza, G. De Micheli, and R. Gupta

Optimized self-tuning for circuit aging

E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra

Genetic network identification using convex programming

A. Julius, M. Zavlanos, S. Boyd, and G. Pappas

Fastest mixing Markov chain on graphs with symmetries

S. Boyd, P. Diaconis, P. Parrilo, and L. Xiao

Subspaces that minimize the condition number of amatrix

S. Joshi and S. Boyd

l1 trend filtering

S.-J. Kim, K. Koh, S.Boyd, and D. Gorinevsky

Cutting-set methods for robust convex optimization with pessimizing oracles

A. Mutapcic and S. Boyd

Robust design of slow-light tapers in periodicwaveguides

A. Mutapcic, S. Boyd, A. Farjadpour, S. Johnson, and Y. Avniel

Analysis and synthesis of state-feedbackcontrollers with timing jitter

J. Skaf and S. Boyd

Relaxed maximum a posteriori fault identification

A. Zymnis, S. Boyd, and D. Gorinevsky

Sensor selection via convex optimization

S. Joshi and S. Boyd

Convex piecewise-linear fitting

A. Magnani and S.Boyd

Performance bounds for linear stochastic control

Y. Wang and S. Boyd

Optimal estimation of deterioration from diagnostic image sequence

D. Gorinevsky, S.-J. Kim, S. Beard, S. Boyd, and G. Gordon

Regular analog/RF ICdesign using optimization with recourse including ellipsoidal uncertainty

Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, L. Pileggi, and S. Boyd

2008

Multi-period portfolio optimization with constraints and transaction costs

J. Skaf and S. Boyd

Enhancing sparsity by reweighted l1 minimization

E.Candes, M. Wakin, and S. Boyd

Mixed state estimation for a linear Gaussian Markov model

A. Zymnis, S. Boyd, and D. Gorinevsky

An efficient method for large-scale gate sizing

S.Joshi and S. Boyd

Further relaxations of the semidefinite programming approach to sensor network localization

Z. Wang, S. Zheng, Y. Ye, and S. Boyd

A minimax theorem with applications to machinelearning, signal processing, and finance

S.-J. Kim and S. BoydA. Zymnis, S. Boyd, and D. Gorinevsky

Filter design with low complexity coefficients

J. Skaf and S. Boyd

Compensation of multimode fiber dispersion usingadaptive optics via convex optimization

R. Panicker, J. Kahn, and S. Boyd

Optimizing adaptive modulation in wireless networks via utility maximization

D. O'Neill, A. Goldsmith, and S. Boyd

Learning the kernel via convex optimization

S.-J. Kim, A. Zymnis, A. Magnani, K. Koh, and S. Boyd

Robust beamforming via worst-case SINR maximization

S.-J. Kim, A. Magnani, A. Mutapcic, S. Boyd, and Z.-Q. Luo

Tractable approximate robust geometric programming

K.-L.Hsiung, S.-J. Kim, and S. Boyd

Minimizing effective resistance of a graph

A. Ghosh,S. Boyd, and A. Saberi

Identification of stable genetic networks using convex programming

M. Zavlanos, A. Julius, S. Boyd and G. Pappas

Temperature control of high-performance multi-core platforms using convex optimization

S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, L. Benini, and G. De Micheli

Design of low-bandwidth spatially distributed feedback

D. Gorinevsky, S. Boyd, and G. Stein

Two-fund separation under modelmis-specification

S.-J. Kim and S. Boyd

Graph implementations for nonsmooth convex programs

M. Grant and S. Boyd

2007

Fast computation of optimal contact forces

S.Boyd and B. Wegbreit

Robust efficient frontier analysis with a separable uncertainty model

S.-J. Kim and S. Boyd

Hyperspectral image unmixing via alternating projected subgradients

A. Zymnis, S.-J. Kim, J. Skaf, M. Parente, and S. Boyd

A tractable method for robust downlink beamforming in wireless communications

A. Mutapcic, S.-J. Kim, and S. Boyd

Dynamic network utility maximization with deliverycontracts

N. Trichakis, A. Zymnis, and S. Boyd

Robust Chebyshev FIR equalization

A.Mutapcic, S.-J. Kim, and S. Boyd

Optimized slowdown in real-time task systemsvia geometric programming

A. Mutapcic, S. Murali, S. Boyd, R. Gupta, D.Atienza, and G. De Micheli

An interior-point method for large-scale network utilitymaximization

A. Zymnis, N. Trichakis, S. Boyd, and D. O'Neill

Beamforming with uncertain weights

A. Mutapcic,S.-J. Kim, and S. Boyd

Generalized Chebyshev bounds via semidefiniteprogramming

L. Vandenberghe, S. Boyd, and K. Comanor

An interior-point method for large-scalel1-regularized logistic regression

K. Koh, S.-J. Kim, and S. Boyd

Portfolio optimization with linear and fixedtransaction costs

M. Lobo, M. Fazel, and S. Boyd

Temperature-aware processor frequencyassignment for MPSoCs using convex optimization

S. Murali, A. Mutapcic, D.Atienza, R. Gupta, S. Boyd, and G. De Micheli

A heuristic for optimizing stochastic activitynetworks with applications to statistical digital circuit sizing

S.-J. Kim, S.Boyd, S. Yun, D. Patil, and M. Horowitz

Distributed average consensus withleast-mean-square deviation

L. Xiao, S. Boyd, and S.-J. Kim

A tutorial on geometric programming

S. Boyd, S.-J.Kim, L. Vandenberghe, and A. Hassibi

An interior pointmethod for large-scale l1-regularized least squares

S.-J. Kim,K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky

An efficient method for large-scale l1-regularized convex loss minimization

K. Koh, S.-J. Kim, and S. Boyd

Distributed estimation via dual decomposition

S.Samar, S. Boyd, and D. Gorinevsky

2006

Extending scope of robust optimization

A. Ben Tal, S.Boyd, and A. Nemirovski

Upper bounds on algebraic connectivity viaconvex optimization

A. Ghosh and S. Boyd

The fastest mixing Markov process on a graph and aconnection to a maximum variance unfolding problem

J. Sun, S. Boyd, L. Xiao,and P. Diaconis

Embedded estimation of fault parameters in an unmannedaerial vehicle

S. Samar, D. Gorinevsky, and S. Boyd

Distributed average consensus with time-varyingmetropolis weights

L. Xiao, S. Boyd, and S. Lall

Array signal processing with robust rejectionconstraints via second-order cone programming

A. Mutapcic, S.-J. Kim, and S.Boyd

Design tools for emerging technologies

S. Johnson, Y. Avniel, J. White, and S. Boyd

Optimal kernel selection in kernel Fisherdiscriminant analysis

S.-J. Kim, A. Magnani, and S. Boyd

Pareto optimal linear classification

S.-J.Kim, A. Magnani, S. Samar, S. Boyd, and J. Lim

A duality view of spectral methods fordimensionality reduction

L. Xiao, J. Sun, and S. Boyd

Growing well-connected graphs

A. Ghosh andS. Boyd

A space-time diffusion scheme for peer-to-peerleast-squares estimation

L. Xiao, S. Boyd, and S. Lall

Fastest mixing Markov chain on a path

S. Boyd, P.Diaconis, J. Sun, and L. Xiao

Randomized gossip algorithms

S. Boyd, A. Ghosh, B.Prabhakar, and D. Shah

Optimal scaling of a gradient method for distributedresource allocation

L. Xiao and S. Boyd

Convex optimization of graph Laplacianeigenvalues

S. Boyd

Auto Tuning Shop Cz

Disciplined convex programming

M. Grant, S.Boyd, and Y. Ye

A heuristic method for statistical digitalcircuit sizing

S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz

Optimization-based design and implementation ofmulti-dimensional zero-phase IIR filters

D. Gorinesvky and S. Boyd

2005

Joint optimization of wireless communication and networked control systems

L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith

Likelihood bounds for constrained estimation withuncertainty

S. Samar, D. Gorinevsky, and S. Boyd

Geometric programming for circuit optimization

S. Boydand S.-J. Kim

Tractable fitting with convex polynomials viasum-of-squares

A. Magnani, S. Lall, and S. Boyd

On time-invariant purified-output-based discretetime control

A. Ben Tal, S. Boyd, and A. Nemirovski

Power control in lognormal fading wireless channelswith uptime probability specifications via robust geometric programming

K.-L.Hsiung, S.-J. Kim and S. Boyd

Robust minimum variance beamforming

R. Lorenz and S.Boyd

Piecewise-affine state feedback forpiecewise-affine slab systems using convex optimization

L. Rodrigues and S.Boyd

OPERA: Optimization with ellipsoidal uncertainty forrobust analog IC design

Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, S. Boyd, andL. Pileggi

Robust Fisher discriminant analysis

S.-J. Kim, A.Magnani, and S. Boyd

Digital circuit optimization via geometricprogramming

S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz

Least-squares covariance matrix adjustment

S.Boyd and L. Xiao

Optimal doping profiles via geometricprogramming

S. Joshi, S. Boyd, and R. Dutton

A new method for design of robust digital circuits

D.Patil, S. Yun, S.-J. Kim, A. Cheung, M. Horowitz, and S. Boyd

Mixing times for random walks on geometric randomgraphs

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

Gossip algorithms: Design, analysis, andapplications

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

A scheme for robust distributed sensor fusionbased on average consensus

L. Xiao, S. Boyd, and S. Lall

Geometric programming applications to EDA problems

S.Boyd, S.-J. Kim, S. Mohan, M. Horowitz, and D. Patil

Symmetry analysis of reversible Markov chains

S.Boyd, P. Diaconis, P. Parrilo, L. Xiao

2004

Near-optimal depth constrainedcodes

P. Gupta, B. Prabhakar, and S. Boyd

A decomposition approach to distributedanalysis of networked systems

C. Langbort, L. Xiao, R. D'Andrea, and S. Boyd

Moving horizon filter for monotonic trends

S. Samar, D. Gorinevsky, and S. Boyd

Distributed optimization for cooperative agents:Application to formation flight

R. Raffard, C. Tomlin, and S. Boyd

Analysis and optimization of randomized gossipalgorithms

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

MP-DSM: a distributed cross layer network controlprotocol

D. O'Neill, L. Yan, and S. Boyd

Rank minimization and applications in systemtheory

M. Fazel, H. Hindi, and S. Boyd

ORACLE: Optimization with recourse of analog circuitsincluding layout extraction

Y. Xu, L. Pileggi, and S. Boyd

Equalization of modal dispersion in multimodefiber using spatial light modulators

E. Alon, V. Stojanovic, J. Kahn, S. Boyd,and M. Horowitz

Designing fast distributed iterations viasemidefinite programming

L. Xiao and S. Boyd

2003

Throughput-centric routing algorithm design

B.Towles, W. Dally, and S. Boyd

Geometric programming duals of channel capacity andrate distortion

M. Chiang and S. Boyd

Control in an information rich world

R. Murray et al

Managing power consumption in networks on chips

T.Simunic, S. Boyd, and P. Glynn

Log-det heuristic for matrix rankminimization with applications to Hankel and Euclidean distance matrices

M.Fazel, H. Hindi, and S. Boyd

Adaptive management of network resources

D. O'Neill, D.Julian, and S. Boyd

Optimal routes and flows in congestionconstrained ad hoc networks

D. O'Neill, D. Julian, and S. Boyd

Future directions in control inan information-rich world

R. Murray, K. Astrom, S. Boyd, R. Brockett,and G. Stein

Pricing and learning with uncertaindemand

M. Lobo and S. Boyd

Worst-case capacity of vector Gaussian channels

S. Vishwanath, S. Boyd, and A. Goldsmith

Optimization of phase-locked loop circuits viageometric programming

D. Colleran, C. Portmann, A. Hassibi, C. Crusius, S.Mohan, S. Boyd, T. Lee, and M. Hershenson

Seeking Foschini's genie: Optimal rates andpowers in wireless networks

D. O'Neill, D. Julian, and S. Boyd

Fast linear iterations for distributed averaging

L.Xiao and S. Boyd

Fastest mixing Markov chain on a graph

S. Boyd, P.Diaconis, and L. Xiao

Optimization-based tuning of low bandwidth controlin spatially distributed systems

D. Gorinevsky, S. Boyd, and G. Stein

Joint optimization of communication rates andlinear systems

L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith

2002

Advances in convex optimization: Interior-point methods,cone programming, and applications

S. Boyd and L. Vandenberghe

Computing optimal uncertainty models from frequencydomain data

H. Hindi, C.-Y. Seong, and S. Boyd

An ellipsoidal approximation to theHadamard product of ellipsoids

R. Lorenz and S. Boyd

Convex optimization of output link schedulingand active queue management in QoS constrained packet switches

M. Chiang, B.Chan, and S. Boyd

QoS and fairness constrained convex optimization ofresource allocation for wireless cellular and ad hoc networks

D. Julian, M.Chiang, D. O'Neill, and S. Boyd

Efficient nonlinear optimization of queueingsystems

M. Chiang, A. Sutivong, and S. Boyd

Optimal power control in interference limited fadingwireless channels with outage probability specifications

S. Kandukuri and S.Boyd

2001

Simultaneous routing and resource allocation in CDMAwireless data networks

M. Johansson, L. Xiao, and S. Boyd

Advances in convex optimization: Theory, algorithms, andapplications

S. Boyd, L. Vandenberghe

Simultaneous routing and resource allocation via dualdecomposition

L. Xiao, M. Johansson, and S. Boyd

Resource allocation for QoS provisioning inwireless ad hoc networks

M. Chiang, D. O'Neill, D. Julian, and S. Boyd

Robust linearprogramming and optimal control

L. Vandenberghe, S. Boyd, and M. Nouralishahi

Iterative water-filling for Gaussian vectormultiple access channels

W. Yu, W. Rhee, S. Boyd, and J. Cioffi

Design of robust global power and ground networks

S. Boyd, L. Vandenberghe, A. El Gamal, and S. Yun

Optimal design of a CMOS op-amp via geometricprogramming

M. Hershenson, S. Boyd, and T. Lee

Optimal allocation of local feedback in multistageamplifiers via geometric programming

J. Dawson, S. Boyd, M. Hershenson, and T.Lee

A rank minimization heuristic with application tominimum order system approximation

M. Fazel, H. Hindi, and S. Boyd

2000

Simutaneous rate and power control in multirateCDMA systems

S. Kandukuri and S. Boyd

On achieving reduced error propagation sensitivity inDFE design via convex optimization

R. Kosut, W. Chung, C. Johnson, and S.Boyd

Finding ultimate limits of performance for hybridelectric vehicles

E. Tate and S. Boyd

Worst-case risk of a portfolio

M. Lobo and S. Boyd

SDPSOL: a parser/solver for semidefinite programs withmatrix structure

S.-P. Wu and S. Boyd

Bandwidth extension in CMOS with optimized on-chipinductors

S. Mohan, M. Hershenson, S. Boyd, and T. Lee

Dynamic emission tomography - regularization andinversion

J. Maeght, D. Noll, and S. Boyd

1999

Crisis in scholarly publishing C-LIBsubcommittee summary

S. Boyd and A. Herkovic

Low-authority controller design via convex optimization

A.Hassibi, J. How, and S. Boyd

Simple accurate expressions for planarspiral inductances

S. Mohan, M. Hershenson, S. Boyd, and T. Lee

Applications of semidefinite programming

L.Vandenberghe and S. Boyd

Entropy and random feedback

S. Boyd

Control of asynchronous dynamical systems with rateconstraints on events

A. Hassibi, S. Boyd, and J. How

Design and optimization of LC oscillators

M.Hershenson, A. Hajimiri, S. Mohan, S. Boyd, and T. Lee

A two-bit scheme for routing lookup

B.Prabhakar, P. Gupta, and S. Boyd

Policies for simultaneous estimation and optimization

M. Lobo and S. Boyd

A path-following method for solving BMI problems incontrol

A. Hassibi, J. How, and S. Boyd

A class of Lyapunov functionals for analyzing hybriddynamical systems

A. Hassibi, S. Boyd, and J. How

Optimization of inductor circuits via geometricprogramming

M. Hershenson, S. Mohan, S. Boyd, and T. Lee

1998

Applications of second-order cone programming

M. Lobo, L.Vandenberghe, S. Boyd, and H. Lebret

Integer parameter estimation in linear models withapplications to GPS

A. Hassibi and S. Boyd

Optimal temperature profiles for post-exposure bake ofphotoresist

A. Hansson and S. Boyd

Robust optimal control of lineardiscrete-time systems using primal-dual interior-point methods

A. Hansson andS. Boyd

Connections between semi-infinite and semidefiniteprogramming

L. Vandenberghe and S. Boyd

Determinant maximization with linear matrix inequalityconstraints

L. Vandenberghe, S. Boyd, and S.-P. Wu

Optimizing dominant time constant in RC circuits

L.Vandenberghe, S. Boyd, and A. El Gamal

Control applications of nonlinear convexprogramming

S. Boyd, C. Crusius, and A. Hansson

Synthesizing stability regions for systemswith saturating actuators

T. Pare, H. Hindi, J. How, and S. Boyd

Analysis of linear systems with saturationusing convex optimization

H. Hindi and S. Boyd

GPCAD: A tool for CMOS op-amp synthesis

M. Hershenson,S. Boyd, and T. Lee

FIR filter design via spectral factorization and convexoptimization

S.-P. Wu, S. Boyd, and L. Vandenberghe

Control-relevant experiment design: aplant-friendly, LMI-based approach

B. Cooley, J. Lee, and S. Boyd

Multiobjective H_2/H_infinity-optimal control via finitedimensional Q-parametrization and linear matrix inequalities

H. Hindi, B.Hassibi, S. Boyd

Robust solutions to l1, l2, and l_infinity uncertainlinear approximation problems using convex optimization

H. Hindi and S. Boyd

Quadratic stabilization and control of piecewise-linearsystems

A. Hassibi and S. Boyd

An implementation of discrete multi-tone over slowlytime-varying multiple-input/multiple-output channels

A. Tehrani, A. Hassibi,S. Boyd, and J. Cioffi

1997

Antenna array pattern synthesis via convexoptimization

H. Lebret and S. Boyd

Semidefinite programming relaxations of non-convexproblems in control and combinatorial optimization

S. Boyd and L. Vandenberghe

A global BMI algorithm based on the generalizedBenders decomposition

E. Beran, L. Vandenberghe, and S. Boyd

Optimal wire and transistor sizing for circuits withnon-tree topology

L. Vandenberghe, S. Boyd, and A. El Gamal

Obstacle collision detection using best ellipsoidfit

E. Rimon and S. Boyd

Optimal linear static control with moment and yieldobjectives

A. Hansson, S. Boyd, L. Vandenberghe, and M. Lobo

1996

Semidefinite programming

L. Vandenberghe and S. Boyd

Control for advanced semiconductor devicemanufacturing: a case history

T. Kailath, C. Schaper, Y. Cho, P. Gyugyi, S.Norman, P. Park, S. Boyd, G. Franklin, K. Saraswat, M. Moslehi, and C. Davis

Design and implementation of aparser/solver for SDPs with matrix structure

S.-P. Wu and S. Boyd

Optimal excitation signal design for frequencydomain system identification using semidefinite programming

G. Javorzky, I.Kollar, L. Vandenberghe, S. Boyd, and S.-P. Wu

1995

Review of Mathematical Control Theory:Deterministic Finite-Dimensional Systems

S. Boyd

A primal-dual potential reduction method for problemsinvolving matrix inequalities

L. Vandenberghe and S. Boyd

CRCD program: convex optimization for engineeringanalysis and design

S. Boyd and L. Vandenberghe

1994

Existence and uniqueness of optimal matrix scalings

V.Balakrishnan and S. Boyd

Generalized access control strategies forintegrated services token passing systems

J. Pang, F. Tobagi, and S. Boyd

Robust control tools: graphicaluser-interfaces and LMI algorithms

S. Boyd

Improving static performance robustness ofthermal processes

M. Kabuli, R. Kosut and S. Boyd

Efficient convex optimization for engineering design

S. Boyd, L. Vandenberghe, and M. Grant

History of linear matrix inequalities incontrol theory

S. Boyd, E. Feron, V. Balakrishnan, and L. El Ghaoui

Tradeoffs in frequency-weightedH_infinity-control

V. Balakrishnan and S. Boyd

1993

Method of centers for minimizing generalized eigenvalues

S. Boyd and L. El Ghaoui

Closed-loop convex formulation of classical and singularvalue loop shaping

C. Barratt and S. Boyd

Solving interpolation problems via generalizedeigenvalue minimization

S. Boyd and L. El Ghaoui

Control systems analysis and synthesis via linearmatrix inequalities

S. Boyd, V. Balakrishnan, E. Feron, and L. El Ghaoui

A polynomial-time algorithm for determining quadraticLyapunov functions for nonlinear systems

L. Vandenberghe and S. Boyd

Linear matrix inequalities in system and controltheory

S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan

1992

Set-membership identification of systems withparametric and nonparametric uncertainty

R. Kosut, M. Lau, and S. Boyd

On computing the worst-case peak gain of linearsystems

V. Balakrishnan and S. Boyd

Global optimization in control system analysis anddesign

V. Balakrishnan and S. Boyd

Design of stablizing state feedback for delay systems viaconvex optimization

E. Feron, V. Balakrishnan, and S. Boyd

Efficient distance computation using best ellipsoidfit

E. Rimon and S. Boyd

On maximizing a robustness measure for structurednonlinear perturbations

L. El Ghaoui, V. Balakrishnan, E. Feron, and S. Boyd

Numerical methods for H_2 related problems

E. Feron, V.Balakrishnan, S. Boyd, and L. El Ghaoui

Computing bounds for the structured singular value via aninterior point algorithm

V. Balakrishnan, E. Feron, S. Boyd and, L. El Ghaoui

Multivariable feedback control ofsemiconductor wafer temperature

S. Norman and S. Boyd

Interactive loop-shaping design of MIMOcontrollers

C. Barratt and S. Boyd

Dynamics and control of a rapid thermalmultiprocessor

C. Schaper, Y. Cho, P. Gyugyi, G. Hoffmann, S. Norman, P.Park, S. Boyd, G. Franklin, T. Kailath, and K. Saraswat

Branch-and-bound algorithm for computing the minimumstability degree of parameter-dependent linear systems

V. Balakrishnan, S.Boyd, and S. Balemi

Closed-loop convex analysis of performancelimits for linear control systems

S. Boyd and C. Barratt

1991

Computing the minimum stability degree ofparameter-dependent linear systems

V. Balakrishnan, S. Boyd, and S. Balemi

On optimal signal sets for digital communicationswith finite precision and amplitude constraints

M. Honig, S. Boyd, B.Gopinath, and E. Rantapaa

Computation of the worst-case covariance for linearsystems with uncertain parameters

V. Balakrishnan and S. Boyd

Auto Tuning.ro

Robust control design for ellipsoidal plantset

M. Lau, S. Boyd, R. Kosut, and G. Franklin

Computation of the maximum H_infinity-norm ofparameter-dependent linear systems by a branch and bound algorithm

S. Balemi,S. Boyd, and V. Balakrishnan

A robust control design for FIR plants with parameterset uncertainty

M. Lau, S. Boyd, R. Kosut, and G. Franklin

Improvement of temperature uniformity inrapid thermal processing systems using multivariable control

S. Norman, C.Schaper, and S. Boyd

1990

A regularity result for the singular values of atransfer matrix and a quadratically convergent algorithm for computing itsL_infinity-norm

S. Boyd and V. Balakrishnan

Numerical solution of a two-disk problem

S. Normanand S. Boyd

Bounds on maximum throughput for digitalcommunications with finite-precision and amplitude constraints

M. Honig, K.Steiglitz, B. Gopinath, and S. Boyd

Linear controller design: Limits of performance viaconvex optimization

S. Boyd, C. Barratt, and S. Norman

Parameter set estimation of systems withuncertain nonparametric dynamics and disturbances

M. Lau, R. Kosut, and S.Boyd

Stability robustness of linear systems toreal parametric perturbations

L. El Ghaoui and S. Boyd

A branch and bound methodology for matrix polytopestability problems arising in power systems

C. Demarco, S. Boyd, and V.Balakrishnan

Identification of systems with parametric andnonparametric uncertainty

R. Kosut, M. Lau, and S. Boyd

1989

Example of exact trade-offs in linear controllerdesign

C. Barratt and S. Boyd

Structured and simultaneous Lyapunov functionsfor system stability problems

S. Boyd and Q. Yang

A bisection method for computing theH_infinity-norm of a transfer matrix and related problems

S. Boyd, V.Balakrishnan, and P. Kabamba

1988

A new CAD method and associated architectures for linearcontrollers

S. Boyd, V. Balakrishnan, C. Barratt, N. Khraishi, X. Li, D.Meyer, and S. Norman

Perturbation bounds for structured robuststability

E. Abed and S. Boyd

On parametric H_infinity optimization

P.Kabamba and S. Boyd

On computing the H_infinity-norm of a transfermatrix

S. Boyd, V. Balakrishnan, and P. Kabamba

1987

On the spectral density of some stochasticprocesses

S. Boyd and D. Hajela

Comparison of peak and RMS gains for discrete-timesystems

S. Boyd and J. Doyle

Design of l1 optimal controllers

J. Pearsonand S. Boyd

1986

Multitone signals with low crest factor

S.Boyd

Necessary and sufficient conditions forparameter convergence in adaptive control

S. Boyd and S. Sastry

A note on the order of l1-optimal compensators

D. Meyer and S. Boyd

A note on parametric and nonparametricuncertainties in control systems

S. Boyd

1985

Fading memory and the problem of approximatingnonlinear operators with Volterra series

S. Boyd and L. Chua

Dynamical system state need not have spectrum

S.Boyd and L. Chua

Uniqueness of circuits and systems containingone nonlinearity

S. Boyd and L. Chua

Subharmonic functions and performance bounds onlinear time-invariant feedback systems

S. Boyd and C. Desoer

Machine Learning Auto Tuning Modulation 6g Chart

Low rate distributed quantization of noisyobservations

R. Gray, S. Boyd and T. Lookabaugh

Volterra series for nonlinearcircuits

S. Boyd and L. Chua

Volterra series: Engineering fundamentals

S. Boyd

1984

Analytical foundations of Volterra series

S. Boyd, L. Chua, and C. Desoer

Structures for nonlinear systems

S.Boyd and L. Chua

1983

On parameter convergence in adaptive control

S. Boyd and S. Sastry

Uniqueness of a basic nonlinear structure

S.Boyd and L. Chua

Measuring Volterra kernels

S. Boyd, Y. Tang,and L. Chua

1982

On the passivity criterion for LTI N-Ports

Machine Learning Auto Tuning Modulation 6g Video

S. Boydand L. Chua

Auto Tuning Video

1980

Machine Learning Auto Tuning Modulation 6g Reviews

Hausdorff measures on the line

Auto Tuning Games

S. Boyd