Automatic Performance Tuning and Machine Learning. Carnegie Mellon PhD and Postdoc openings. Performance Tuning Proc. International Conference on Machine Learning (ICML), pp. 729-736, 2009. Nov 01, 2014 Fine-tuning on neural nets? And that part is fine-tuning? The Machine Learning Engineering book will not contain descriptions of any machine learning algorithm or model. It will be entirely devoted to the engineering aspects of implementing a machine learning.
Department of Electrical Engineering,Stanford University
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
VIDEO 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
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
Auto Tuning Games 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 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
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
Machine Learning Auto Tuning Modulation 6g Video 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
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
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
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 S. Boydand L. Chua
1980 Hausdorff measures on the line S. Boyd
