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ORCIDStephen P. Boyd
Person information
- affiliation: Stanford University, USA
- award (2017): IEEE James H. Mulligan, Jr. Education Medal
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2020 – today
- 2025
[j145]Rafael Perez Martinez
, Stephen P. Boyd, Srabanti Chowdhury:
Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications. IEEE Access 13: 34105-34114 (2025)- [j144]Nicholas Moehle, Mykel J. Kochenderfer, Stephen P. Boyd, Andrew Ang:
Correction: Tax-Aware Portfolio Construction Via Convex Optimization. J. Optim. Theory Appl. 204(3): 48 (2025) - [c123]Daniel Cederberg, Xuyang Wu, Stephen P. Boyd, Mikael Johansson:
An Asynchronous Bundle Method for Distributed Learning Problems. ICLR 2025 - [i54]Obidike Nnorom Jr., Mehmet G. Ogut, Stephen P. Boyd, Philip Levis:
Aging-Aware Battery Control via Convex Optimization. CoRR abs/2505.09030 (2025) - 2024
- [j143]Rafael Perez Martinez, Masaya Iwamoto, Kelly Woo, Zhengliang Bian, Roberto Tinti, Stephen P. Boyd, Srabanti Chowdhury:
Compact Model Parameter Extraction via Derivative-Free Optimization. IEEE Access 12: 123224-123235 (2024) - [j142]Eric Luxenberg, Philipp Schiele, Stephen P. Boyd:
Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization. J. Optim. Theory Appl. 201(3): 1089-1115 (2024) - [j141]Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd:
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. J. Optim. Theory Appl. 202(3): 1158-1168 (2024) - [j140]Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd:
Approximate sequential optimization for informative path planning. Robotics Auton. Syst. 182: 104814 (2024) - [j139]Philipp Schiele, Eric Luxenberg, Stephen P. Boyd:
Disciplined Saddle Programming. Trans. Mach. Learn. Res. 2024 (2024) - [j138]Tobia Marcucci, Parth Nobel, Russ Tedrake, Stephen P. Boyd:
Fast Path Planning Through Large Collections of Safe Boxes. IEEE Trans. Robotics 40: 3795-3811 (2024) - [c122]Maolin Wang, Ian McInerney, Bartolomeo Stellato, Fengbin Tu, Stephen P. Boyd, Hayden Kwok-Hay So, Kwang-Ting Cheng:
Multi-Issue Butterfly Architecture for Sparse Convex Quadratic Programming. MICRO 2024: 1574-1587 - [i53]Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd:
Approximate Sequential Optimization for Informative Path Planning. CoRR abs/2402.08841 (2024) - [i52]Rafael Perez Martinez, Masaya Iwamoto, Kelly Woo, Zhengliang Bian, Roberto Tinti, Stephen P. Boyd, Srabanti Chowdhury:
Compact Model Parameter Extraction via Derivative-Free Optimization. CoRR abs/2406.16355 (2024) - [i51]Rafael Perez Martinez, Stephen P. Boyd, Srabanti Chowdhury:
Robust Pareto Design of GaN HEMTs for Millimeter-Wave Applications. CoRR abs/2406.17337 (2024) - [i50]Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd:
Informative Input Design for Dynamic Mode Decomposition. CoRR abs/2409.13088 (2024) - [i49]Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh:
Optimization Algorithm Design via Electric Circuits. CoRR abs/2411.02573 (2024) - 2023
- [j137]Bennet E. Meyers, Stephen P. Boyd:
Signal Decomposition Using Masked Proximal Operators. Found. Trends Signal Process. 17(1): 1-78 (2023) - [j136]Shane T. Barratt, Stephen P. Boyd:
Fitting feature-dependent Markov chains. J. Glob. Optim. 87(2): 329-346 (2023) - [j135]Parth Nobel, Akshay Agrawal, Stephen P. Boyd:
Computing tighter bounds on the n-queens constant via Newton's method. Optim. Lett. 17(5): 1229-1240 (2023) - [j134]Parth Nobel, Emmanuel J. Candès, Stephen P. Boyd:
Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers. IEEE Trans. Signal Process. 71: 4330-4341 (2023) - [c121]Maolin Wang, Ian McInerney, Bartolomeo Stellato, Stephen P. Boyd, Hayden Kwok-Hay So:
RSQP: Problem-specific Architectural Customization for Accelerated Convex Quadratic Optimization. ISCA 2023: 73:1-73:12 - [i48]Philipp Schiele, Eric Luxenberg, Stephen P. Boyd:
Disciplined Saddle Programming. CoRR abs/2301.13427 (2023) - [i47]Tobia Marcucci, Parth Nobel, Russ Tedrake, Stephen P. Boyd:
Fast Path Planning Through Large Collections of Safe Boxes. CoRR abs/2305.01072 (2023) - [i46]Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd:
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR abs/2305.02573 (2023) - [i45]Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd:
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. CoRR abs/2306.05649 (2023) - [i44]Mehmet G. Ogut, Bennet E. Meyers, Stephen P. Boyd:
PV Fleet Modeling via Smooth Periodic Gaussian Copula. CoRR abs/2307.00004 (2023) - 2022
- [j133]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. IEEE Access 10: 115384-115398 (2022) - [j132]Nicholas Moehle, Stephen P. Boyd:
A Certainty Equivalent Merton Problem. IEEE Control. Syst. Lett. 6: 1478-1483 (2022) - [j131]Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd:
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022) - [j130]Guenther Walther, Alnur Ali, Xinyue Shen, Stephen P. Boyd:
Confidence Bands for a Log-Concave Density. J. Comput. Graph. Stat. 31(4): 1426-1438 (2022) - [j129]Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. 14(3): 593-622 (2022) - [j128]Anqi Fu, Lei Xing, Stephen P. Boyd:
Operator splitting for adaptive radiation therapy with nonlinear health dynamics. Optim. Methods Softw. 37(6): 2300-2323 (2022) - [j127]Shane T. Barratt, Stephen P. Boyd:
Stochastic Control With Affine Dynamics and Extended Quadratic Costs. IEEE Trans. Autom. Control. 67(1): 320-335 (2022) - [c120]Eric Luxenberg, Stephen P. Boyd, Misha van Beek, Wen Cao, Mykel J. Kochenderfer:
Strategic Asset Allocation with Illiquid Alternatives. ICAIF 2022: 249-256 - [c119]Guillermo Angeris, Alex Evans, Tarun Chitra, Stephen P. Boyd:
Optimal Routing for Constant Function Market Makers. EC 2022: 115-128 - [i43]Gabriel Maher, Stephen P. Boyd, Mykel John Kochenderfer, Cristian Matache, Alex Ulitsky, Slava Yukhymuk, Leonid Kopman:
A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer. CoRR abs/2202.07735 (2022) - [i42]Bennet E. Meyers, Stephen P. Boyd:
Signal Decomposition Using Masked Proximal Operators. CoRR abs/2202.09338 (2022) - [i41]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. CoRR abs/2205.02640 (2022) - [i40]Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy:
Strategic Asset Allocation with Illiquid Alternatives. CoRR abs/2207.07767 (2022) - 2021
- [j126]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14(3): 211-378 (2021) - [j125]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. IEEE CAA J. Autom. Sinica 8(8): 1355-1364 (2021) - [j124]Jonathan Tuck, Shane T. Barratt, Stephen P. Boyd:
A Distributed Method for Fitting Laplacian Regularized Stratified Models. J. Mach. Learn. Res. 22: 60:1-60:37 (2021) - [j123]Nicholas Moehle, Mykel J. Kochenderfer, Stephen P. Boyd, Andrew Ang:
Tax-Aware Portfolio Construction via Convex Optimization. J. Optim. Theory Appl. 189(2): 364-383 (2021) - [j122]Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Optimal representative sample weighting. Stat. Comput. 31(3): 19 (2021) - [j121]Charles W. Huang, Yong Yang, Neil Panjwani, Stephen P. Boyd, Lei Xing:
Pareto Optimal Projection Search (POPS): Automated Radiation Therapy Treatment Planning by Direct Search of the Pareto Surface. IEEE Trans. Biomed. Eng. 68(10): 2907-2917 (2021) - [j120]Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide:
Dirty Pixels: Towards End-to-end Image Processing and Perception. ACM Trans. Graph. 40(3): 23:1-23:15 (2021) - [c118]Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. AAAI 2021: 10887-10895 - [c117]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP 2021: 521-537 - [i39]Shane T. Barratt, Yining Dong, Stephen P. Boyd:
Low Rank Forecasting. CoRR abs/2101.12414 (2021) - [i38]Shane T. Barratt, Stephen P. Boyd:
Covariance Prediction via Convex Optimization. CoRR abs/2101.12416 (2021) - [i37]Akshay Agrawal, Alnur Ali, Stephen P. Boyd:
Minimum-Distortion Embedding. CoRR abs/2103.02559 (2021) - [i36]Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia:
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR abs/2104.00282 (2021) - [i35]Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia:
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR abs/2110.11927 (2021) - 2020
- [j119]Mojtaba Tefagh, Stephen P. Boyd:
SWIFTCORE: a tool for the context-specific reconstruction of genome-scale metabolic networks. BMC Bioinform. 21(1): 140 (2020) - [j118]Reza Takapoui, Nicholas Moehle, Stephen P. Boyd, Alberto Bemporad:
A simple effective heuristic for embedded mixed-integer quadratic programming. Int. J. Control 93(1): 2-12 (2020) - [j117]Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
OSQP: an operator splitting solver for quadratic programs. Math. Program. Comput. 12(4): 637-672 (2020) - [j116]Akshay Agrawal, Stephen P. Boyd:
Disciplined quasiconvex programming. Optim. Lett. 14(7): 1643-1657 (2020) - [j115]Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Minimizing a sum of clipped convex functions. Optim. Lett. 14(8): 2443-2459 (2020) - [j114]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
On the Convergence of Mirror Descent beyond Stochastic Convex Programming. SIAM J. Optim. 30(1): 687-716 (2020) - [j113]Junzi Zhang, Brendan O'Donoghue, Stephen P. Boyd:
Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM J. Optim. 30(4): 3170-3197 (2020) - [j112]Anqi Fu, Junzi Zhang, Stephen P. Boyd:
Anderson Accelerated Douglas-Rachford Splitting. SIAM J. Sci. Comput. 42(6): A3560-A3583 (2020) - [c116]Shane T. Barratt, Stephen P. Boyd:
Fitting a Kalman Smoother to Data. ACC 2020: 1526-1531 - [c115]Jongho Kim, Youngsuk Park, John D. Fox, Stephen P. Boyd, William J. Dally:
Optimal Operation of a Plug-in Hybrid Vehicle with Battery Thermal and Degradation Model. ACC 2020: 3083-3090 - [c114]Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah:
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. ICASSP 2020: 3597-3601 - [c113]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. L4DC 2020: 361-373 - [c112]Malayandi Palan, Shane T. Barratt, Alex McCauley, Dorsa Sadigh, Vikas Sindhwani, Stephen P. Boyd:
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint. L4DC 2020: 374-383 - [i34]Jonathan Tuck, Stephen P. Boyd:
Eigen-Stratified Models. CoRR abs/2001.10389 (2020) - [i33]Jonathan Tuck, Stephen P. Boyd:
Fitting Laplacian Regularized Stratified Gaussian Models. CoRR abs/2005.01752 (2020) - [i32]Shane T. Barratt, Guillermo Angeris, Stephen P. Boyd:
Optimal Representative Sample Weighting. CoRR abs/2005.09065 (2020) - [i31]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd:
Learning Convex Optimization Models. CoRR abs/2006.04248 (2020) - [i30]Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. CoRR abs/2010.11364 (2020)
2010 – 2019
- 2019
- [j111]David Hallac, Peter Nystrup, Stephen P. Boyd:
Greedy Gaussian segmentation of multivariate time series. Adv. Data Anal. Classif. 13(3): 727-751 (2019) - [j110]Peter Nystrup, Stephen P. Boyd, Erik Lindström, Henrik Madsen:
Multi-period portfolio selection with drawdown control. Ann. Oper. Res. 282(1-2): 245-271 (2019) - [j109]Enzo Busseti, Walaa M. Moursi, Stephen P. Boyd:
Solution refinement at regular points of conic problems. Comput. Optim. Appl. 74(3): 627-643 (2019) - [j108]Jonathan Tuck, David Hallac, Stephen P. Boyd:
Distributed majorization-minimization for Laplacian regularized problems. IEEE CAA J. Autom. Sinica 6(1): 45-52 (2019) - [j107]Baris Ungun, Lei Xing, Stephen P. Boyd:
Real-Time Radiation Treatment Planning with Optimality Guarantees via Cluster and Bound Methods. INFORMS J. Comput. 31(3): 544-558 (2019) - [j106]Nicholas Moehle, Xinyue Shen, Zhi-Quan Luo, Stephen P. Boyd:
A Distributed Method for Optimal Capacity Reservation. J. Optim. Theory Appl. 182(3): 1130-1149 (2019) - [j105]Goran Banjac, Paul Goulart, Bartolomeo Stellato, Stephen P. Boyd:
Infeasibility Detection in the Alternating Direction Method of Multipliers for Convex Optimization. J. Optim. Theory Appl. 183(2): 490-519 (2019) - [j104]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined geometric programming. Optim. Lett. 13(5): 961-976 (2019) - [j103]Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data. IEEE Trans. Intell. Transp. Syst. 20(9): 3536-3545 (2019) - [c111]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570 - [i29]Shane T. Barratt, Stephen P. Boyd:
Least Squares Auto-Tuning. CoRR abs/1904.05460 (2019) - [i28]Jonathan Tuck, Shane T. Barratt, Stephen P. Boyd:
A Distributed Method for Fitting Laplacian Regularized Stratified Models. CoRR abs/1904.12017 (2019) - [i27]Akshay Agrawal, Stephen P. Boyd:
Disciplined Quasiconvex Programming. CoRR abs/1905.00562 (2019) - [i26]Dave Deriso, Stephen P. Boyd:
A General Optimization Framework for Dynamic Time Warping. CoRR abs/1905.12893 (2019) - [i25]Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah:
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. CoRR abs/1910.07056 (2019) - [i24]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. CoRR abs/1910.12430 (2019) - [i23]Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. CoRR abs/1912.09529 (2019) - 2018
- [j102]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting jump models. Autom. 96: 11-21 (2018) - [j101]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A rewriting system for convex optimization problems. J. Control. Decis. 5(1): 42-60 (2018) - [j100]Jaehyun Park, Stephen P. Boyd:
A semidefinite programming method for integer convex quadratic minimization. Optim. Lett. 12(3): 499-518 (2018) - [j99]Steven Diamond, Reza Takapoui, Stephen P. Boyd:
A general system for heuristic minimization of convex functions over non-convex sets. Optim. Methods Softw. 33(1): 165-193 (2018) - [j98]Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein:
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37(4): 114 (2018) - [c110]Valentina Breschi, Alberto Bemporad, Dario Piga, Stephen P. Boyd:
Prediction error methods in learning jump ARMAX models. CDC 2018: 2247-2252 - [c109]Bartolomeo Stellato, Vihangkumar V. Naik, Alberto Bemporad, Paul Goulart, Stephen P. Boyd:
Embedded Mixed-Integer Quadratic optimization Using the OSQP Solver. ECC 2018: 1536-1541 - [c108]Qingyun Sun, Mengyuan Yan, David L. Donoho, Stephen P. Boyd:
Convolutional Imputation of Matrix Networks. ICML 2018: 4825-4834 - [c107]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. IJCAI 2018: 5254-5258 - [i22]Ping Yin, Steven Diamond, Bill Lin, Stephen P. Boyd:
Network Optimization for Unified Packet and Circuit Switched Networks. CoRR abs/1808.00586 (2018) - [i21]Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data. CoRR abs/1810.09568 (2018) - [i20]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined Geometric Programming. CoRR abs/1812.04074 (2018) - 2017
- [j97]Stephen P. Boyd, Enzo Busseti, Steven Diamond, Ronald N. Kahn, Kwangmoo Koh, Peter Nystrup, Jan Speth:
Multi-Period Trading via Convex Optimization. Found. Trends Optim. 3(1): 1-76 (2017) - [j96]David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. 18: 4:1-4:5 (2017) - [j95]Nicholas Boyd, Trevor Hastie, Stephen P. Boyd, Benjamin Recht, Michael I. Jordan:
Saturating Splines and Feature Selection. J. Mach. Learn. Res. 18: 197:1-197:32 (2017) - [j94]Steven Diamond, Stephen P. Boyd:
Stochastic Matrix-Free Equilibration. J. Optim. Theory Appl. 172(2): 436-454 (2017) - [j93]Pontus Giselsson, Stephen P. Boyd:
Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM. IEEE Trans. Autom. Control. 62(2): 532-544 (2017) - [j92]Nan Zhang, Zhiqiang Yao, Yixian Liu, Stephen P. Boyd, Zhi-Quan Luo:
Dynamic Resource Allocation for Energy Efficient Transmission in Digital Subscriber Lines. IEEE Trans. Signal Process. 65(16): 4353-4366 (2017) - [c106]Youngsuk Park, David Hallac, Stephen P. Boyd, Jure Leskovec:
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields. AISTATS 2017: 1302-1310 - [c105]Matt Wytock, Nicholas Moehle, Stephen P. Boyd:
Dynamic energy management with scenario-based robust MPC. ACC 2017: 2042-2047 - [c104]Goran Banjac, Bartolomeo Stellato, Nicholas Moehle, Paul Goulart, Alberto Bemporad, Stephen P. Boyd:
Embedded code generation using the OSQP solver. CDC 2017: 1906-1911 - [c103]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. KDD 2017: 205-213 - [c102]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. KDD 2017: 215-223 - [c101]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Stochastic Mirror Descent in Variationally Coherent Optimization Problems. NIPS 2017: 7040-7049 - [i19]Steven Diamond, Vincent Sitzmann, Stephen P. Boyd, Gordon Wetzstein, Felix Heide:
Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. CoRR abs/1701.06487 (2017) - [i18]David Hallac, Youngsuk Park, Stephen P. Boyd, Jure Leskovec:
Network Inference via the Time-Varying Graphical Lasso. CoRR abs/1703.01958 (2017) - [i17]Nicholas Moehle, Xinyue Shen, Zhi-Quan Luo, Stephen P. Boyd:
A Distributed Method for Optimal Capacity Reservation. CoRR abs/1705.00677 (2017) - [i16]David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data. CoRR abs/1706.03161 (2017) - [i15]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Mirror descent in non-convex stochastic programming. CoRR abs/1706.05681 (2017) - [i14]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A Rewriting System for Convex Optimization Problems. CoRR abs/1709.04494 (2017) - [i13]Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd:
Fitting Jump Models. CoRR abs/1711.09220 (2017) - 2016
- [j91]Madeleine Udell, Stephen P. Boyd:
Bounding duality gap for separable problems with linear constraints. Comput. Optim. Appl. 64(2): 355-378 (2016) - [j90]Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd:
Generalized Low Rank Models. Found. Trends Mach. Learn. 9(1): 1-118 (2016) - [j89]Steven Diamond, Stephen P. Boyd:
CVXPY: A Python-Embedded Modeling Language for Convex Optimization. J. Mach. Learn. Res. 17: 83:1-83:5 (2016) - [j88]Weijie Su, Stephen P. Boyd, Emmanuel J. Candès:
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. J. Mach. Learn. Res. 17: 153:1-153:43 (2016) - [j87]Brendan O'Donoghue, Eric Chu, Neal Parikh, Stephen P. Boyd:
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding. J. Optim. Theory Appl. 169(3): 1042-1068 (2016) - [j86]Thomas Lipp, Stephen P. Boyd:
Antagonistic control. Syst. Control. Lett. 98: 44-48 (2016) - [c100]Nicholas Moehle, Stephen P. Boyd:
Optimal current waveforms for switched-reluctance motors. CCA 2016: 1129-1136 - [c99]Reza Takapoui, Nicholas Moehle, Stephen P. Boyd, Alberto Bemporad:
A simple effective heuristic for embedded mixed-integer quadratic programming. ACC 2016: 5619-5625 - [c98]Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen P. Boyd:
Disciplined convex-concave programming. CDC 2016: 1009-1014 - [c97]Pontus Giselsson, Mattias Fält, Stephen P. Boyd:
Line search for averaged operator iteration. CDC 2016: 1015-1022 - [c96]Nicholas Moehle, Stephen P. Boyd:
Maximum torque-per-current control of induction motors via semidefinite programming. CDC 2016: 1920-1925 - [c95]Nan Zhang, Zhiqiang Yao, Yixian Liu, Stephen P. Boyd, Zhi-Quan Luo:
Optimal Resource Allocation for Energy Efficient Transmission in DSL. GLOBECOM 2016: 1-6 - [c94]Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd:
A New Architecture for Optimization Modeling Frameworks. PyHPC@SC 2016: 36-44 - [i12]Nicholas Moehle, Stephen P. Boyd:
Optimal Current Waveforms for Switched-Reluctance Motors. CoRR abs/1601.03768 (2016) - [i11]Qingyun Sun, Mengyuan Yan, Stephen P. Boyd:
Convolutional Imputation of Matrix Network. CoRR abs/1606.00925 (2016) - [i10]Reza Takapoui, Stephen P. Boyd:
Linear Programming Heuristics for the Graph Isomorphism Problem. CoRR abs/1611.00711 (2016) - 2015
- [j85]Pontus Giselsson, Stephen P. Boyd:
Metric selection in fast dual forward-backward splitting. Autom. 62: 1-10 (2015) - [j84]Ernest K. Ryu, Stephen P. Boyd:
Extensions of Gauss Quadrature Via Linear Programming. Found. Comput. Math. 15(4): 953-971 (2015) - [j83]Nicholas Moehle, Stephen P. Boyd:
Optimal current waveforms for brushless permanent magnet motors. Int. J. Control 88(7): 1389-1399 (2015) - [j82]Nicholas Moehle, Stephen P. Boyd:
A perspective-based convex relaxation for switched-affine optimal control. Syst. Control. Lett. 86: 34-40 (2015) - [j81]Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd:
Linear Models Based on Noisy Data and the Frisch Scheme. SIAM Rev. 57(2): 167-197 (2015) - [c93]Saahil Shenoy, Dimitry M. Gorinevsky, Stephen P. Boyd:
Non-parametric regression modeling for stochastic optimization of power grid load forecast. ACC 2015: 1010-1015 - [c92]Steven Diamond, Stephen P. Boyd:
Convex Optimization with Abstract Linear Operators. ICCV 2015: 675-683 - [c91]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. KDD 2015: 387-396 - [c90]Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd:
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI 2015: 62-71 - [i9]Jaehyun Park, Stephen P. Boyd:
A Semidefinite Programming Method for Integer Convex Quadratic Minimization. CoRR abs/1504.07672 (2015) - [i8]David Hallac, Jure Leskovec, Stephen P. Boyd:
Network Lasso: Clustering and Optimization in Large Graphs. CoRR abs/1507.00280 (2015) - [i7]David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. CoRR abs/1509.06397 (2015) - 2014
- [b2]Stephen P. Boyd, Lieven Vandenberghe:
Convex Optimization. Cambridge University Press 2014, ISBN 978-0-521-83378-3 - [j80]Stephen P. Boyd, Mark T. Müller, Brendan O'Donoghue, Yang Wang:
Performance Bounds and Suboptimal Policies for Multi-Period Investment. Found. Trends Optim. 1(1): 1-72 (2014) - [j79]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Dynamic Network Energy Management via Proximal Message Passing. Found. Trends Optim. 1(2): 73-126 (2014) - [j78]Neal Parikh, Stephen P. Boyd:
Proximal Algorithms. Found. Trends Optim. 1(3): 127-239 (2014) - [j77]Thomas Lipp, Stephen P. Boyd:
Minimum-time speed optimisation over a fixed path. Int. J. Control 87(6): 1297-1311 (2014) - [j76]Neal Parikh, Stephen P. Boyd:
Block splitting for distributed optimization. Math. Program. Comput. 6(1): 77-102 (2014) - [j75]Aditya G. Parameswaran, Stephen P. Boyd, Hector Garcia-Molina, Ashish Gupta, Neoklis Polyzotis, Jennifer Widom:
Optimal Crowd-Powered Rating and Filtering Algorithms. Proc. VLDB Endow. 7(9): 685-696 (2014) - [c89]Pontus Giselsson, Stephen P. Boyd:
Diagonal scaling in Douglas-Rachford splitting and ADMM. CDC 2014: 5033-5039 - [c88]Pontus Giselsson, Stephen P. Boyd:
Preconditioning in fast dual gradient methods. CDC 2014: 5040-5045 - [c87]Pontus Giselsson, Stephen P. Boyd:
Monotonicity and restart in fast gradient methods. CDC 2014: 5058-5063 - [c86]Stephen P. Boyd:
Plenary talk: Performance bounds and suboptimal policies for multi-period investment. MED 2014: 1 - [c85]Weijie Su, Stephen P. Boyd, Emmanuel J. Candès:
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. NIPS 2014: 2510-2518 - [c84]Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd:
Convex optimization in Julia. HPTCDL@SC 2014: 18-28 - [i6]Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen P. Boyd:
Generalized Low Rank Models. CoRR abs/1410.0342 (2014) - [i5]Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd:
Convex Optimization in Julia. CoRR abs/1410.4821 (2014) - 2013
- [j74]Tobias Gybel Hovgaard, Stephen P. Boyd, Lars Finn Sloth Larsen, John Bagterp Jørgensen:
Nonconvex model predictive control for commercial refrigeration. Int. J. Control 86(8): 1349-1366 (2013) - [j73]Vanya Van Belle, Patrick Neven, Vernon Harvey, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd:
Risk group detection and survival function estimation for interval coded survival methods. Neurocomputing 112: 200-210 (2013) - [j72]Brendan O'Donoghue, Giorgos Stathopoulos, Stephen P. Boyd:
A Splitting Method for Optimal Control. IEEE Trans. Control. Syst. Technol. 21(6): 2432-2442 (2013) - [c83]Eric Chu, Neal Parikh, Alexander Domahidi, Stephen P. Boyd:
Code generation for embedded second-order cone programming. ECC 2013: 1547-1552 - [c82]Alexander Domahidi, Eric Chu, Stephen P. Boyd:
ECOS: An SOCP solver for embedded systems. ECC 2013: 3071-3076 - [c81]Brendan O'Donoghue, Yang Wang, Stephen P. Boyd:
Iterated approximate value functions. ECC 2013: 3882-3888 - [c80]Tobias Gybel Hovgaard, Lars Finn Sloth Larsen, John Bagterp Jørgensen, Stephen P. Boyd:
MPC for wind power gradients - utilizing forecasts, rotor inertia, and central energy storage. ECC 2013: 4071-4076 - [c79]Martin Hast, Karl Johan Åström, Bo Bernhardsson, Stephen P. Boyd:
PID design by convex-concave optimization. ECC 2013: 4460-4465 - [i4]Lipeng Ning, Tryphon T. Georgiou, Allen R. Tannenbaum, Stephen P. Boyd:
Linear models based on noisy data and the Frisch scheme. CoRR abs/1304.3877 (2013) - 2012
- [j71]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
Smoothed state estimates under abrupt changes using sum-of-norms regularization. Autom. 48(4): 595-605 (2012) - [c78]Eric Chu, Arezou Keshavarz, Dimitry M. Gorinevsky, Stephen P. Boyd:
Moving horizon estimation for staged QP problems. CDC 2012: 3177-3182 - [c77]Vanya Van Belle, Sabine Van Huffel, Johan A. K. Suykens, Stephen P. Boyd:
Interval coded scoring systems for survival analysis. ESANN 2012 - [c76]Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic:
Accuracy at the Top. NIPS 2012: 962-970 - [i3]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Message Passing for Dynamic Network Energy Management. CoRR abs/1204.1106 (2012) - 2011
- [j70]Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Inferring stable genetic networks from steady-state data. Autom. 47(6): 1113-1122 (2011) - [j69]Stephen P. Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein:
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. Found. Trends Mach. Learn. 3(1): 1-122 (2011) - [j68]Evelyn Mintarno, Joëlle Skaf, Rui Zheng, Jyothi Velamala, Yu Cao, Stephen P. Boyd, Robert W. Dutton, Subhasish Mitra:
Self-Tuning for Maximized Lifetime Energy-Efficiency in the Presence of Circuit Aging. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(5): 760-773 (2011) - [j67]Yang Wang, Stephen P. Boyd:
Fast Evaluation of Quadratic Control-Lyapunov Policy. IEEE Trans. Control. Syst. Technol. 19(4): 939-946 (2011) - [c75]Mohsen Soltani, Rafael Wisniewski, Per Brath, Stephen P. Boyd:
Load reduction of wind turbines using receding horizon control. CCA 2011: 852-857 - [c74]Benjamin Biegel, Morten Juelsgaard, Matt Kraning, Stephen P. Boyd, Jakob Stoustrup:
Wind turbine pitch optimization. CCA 2011: 1327-1334 - [c73]Arezou Keshavarz, Yang Wang, Stephen P. Boyd:
Imputing a convex objective function. ISIC 2011: 613-619 - [c72]Brendan O'Donoghue, Yang Wang, Stephen P. Boyd:
Min-max approximate dynamic programming. CACSD 2011: 424-431 - [c71]Stephen P. Boyd:
Convex optimization: from embedded real-time to large-scale distributed. KDD 2011: 1 - 2010
- [j66]Henrik Ohlsson, Lennart Ljung, Stephen P. Boyd:
Segmentation of ARX-models using sum-of-norms regularization. Autom. 46(6): 1107-1111 (2010) - [j65]Ekine Akuiyibo, Stephen P. Boyd:
Adaptive Modulation with Smoothed Flow Utility. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - [j64]Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorinevsky:
Mixed linear system estimation and identification. Signal Process. 90(3): 966-971 (2010) - [j63]Argyrios Zymnis, Stephen P. Boyd, Emmanuel J. Candès:
Compressed Sensing With Quantized Measurements. IEEE Signal Process. Lett. 17(2): 149-152 (2010) - [j62]John Mattingley, Stephen P. Boyd:
Real-Time Convex Optimization in Signal Processing. IEEE Signal Process. Mag. 27(3): 50-61 (2010) - [j61]Joëlle Skaf, Stephen P. Boyd:
Design of Affine Controllers via Convex Optimization. IEEE Trans. Autom. Control. 55(11): 2476-2487 (2010) - [j60]Yang Wang, Stephen P. Boyd:
Fast Model Predictive Control Using Online Optimization. IEEE Trans. Control. Syst. Technol. 18(2): 267-278 (2010) - [j59]Ritesh Madan, Stephen P. Boyd, Sanjay Lall:
Fast Algorithms for Resource Allocation in Wireless Cellular Networks. IEEE/ACM Trans. Netw. 18(3): 973-984 (2010) - [c70]Jacob Mattingley, Yang Wang, Stephen P. Boyd:
Code generation for receding horizon control. CACSD 2010: 985-992 - [c69]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
Trajectory generation using sum-of-norms regularization. CDC 2010: 540-545 - [c68]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
State smoothing by sum-of-norms regularization. CDC 2010: 2880-2885 - [c67]Evelyn Mintarno, Joëlle Skaf, Rui Zheng, Jyothi Velamala, Yu Cao, Stephen P. Boyd, Robert W. Dutton, Subhasish Mitra:
Optimized self-tuning for circuit aging. DATE 2010: 586-591 - [c66]Ekine Akuiyibo, Stephen P. Boyd, Daniel O'Neill:
Adaptive Modulation in Wireless Networks with Smoothed Flow Utility. GLOBECOM 2010: 1-5 - [c65]Francesco Zanini, David Atienza, Giovanni De Micheli, Stephen P. Boyd:
Online convex optimization-based algorithm for thermal management of MPSoCs. ACM Great Lakes Symposium on VLSI 2010: 203-208 - [c64]Daniel O'Neill, Ekine Akuiyibo, Stephen P. Boyd, Andrea J. Goldsmith:
Optimizing Adaptive Modulation in Wireless Networks via Multi-Period Network Utility Maximization. ICC 2010: 1-5 - [p2]Jacob Mattingley, Stephen P. Boyd:
Automatic code generation for real-time convex optimization. Convex Optimization in Signal Processing and Communications 2010: 1-41
2000 – 2009
- 2009
- [j58]Almir Mutapcic, Stephen P. Boyd:
Cutting-set methods for robust convex optimization with pessimizing oracles. Optim. Methods Softw. 24(3): 381-406 (2009) - [j57]Yang Wang, Stephen P. Boyd:
Performance bounds for linear stochastic control. Syst. Control. Lett. 58(3): 178-182 (2009) - [j56]Stephen P. Boyd, Persi Diaconis, Pablo A. Parrilo, Lin Xiao:
Fastest Mixing Markov Chain on Graphs with Symmetries. SIAM J. Optim. 20(2): 792-819 (2009) - [j55]Seung-Jean Kim, Kwangmoo Koh, Stephen P. Boyd, Dimitry M. Gorinevsky:
1 Trend Filtering. SIAM Rev. 51(2): 339-360 (2009) - [j54]Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorinevsky:
Relaxed maximum a posteriori fault identification. Signal Process. 89(6): 989-999 (2009) - [j53]Joëlle Skaf, Stephen P. Boyd:
Analysis and Synthesis of State-Feedback Controllers With Timing Jitter. IEEE Trans. Autom. Control. 54(3): 652-657 (2009) - [j52]Joëlle Skaf, Stephen P. Boyd:
Nonlinear Q-Design for Convex Stochastic Control. IEEE Trans. Autom. Control. 54(10): 2426-2430 (2009) - [j51]Yang Xu, Kan-Lin Hsiung, Xin Li, Lawrence T. Pileggi, Stephen P. Boyd:
Regular Analog/RF Integrated Circuits Design Using Optimization With Recourse Including Ellipsoidal Uncertainty. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(5): 623-637 (2009) - [j50]Almir Mutapcic, Stephen P. Boyd, Srinivasan Murali, David Atienza, Giovanni De Micheli, Rajesh Gupta:
Processor Speed Control With Thermal Constraints. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(9): 1994-2008 (2009) - [j49]Siddharth Joshi, Stephen P. Boyd:
Sensor Selection via Convex Optimization. IEEE Trans. Signal Process. 57(2): 451-462 (2009) - [j48]Dimitry M. Gorinevsky, Seung-Jean Kim, Shawn Beard, Stephen P. Boyd, Grant Gordon:
Optimal Estimation of Deterioration From Diagnostic Image Sequence. IEEE Trans. Signal Process. 57(3): 1030-1043 (2009) - [c63]Dimitry Gorinevsky, Stephen P. Boyd, Scott Poll:
Estimation of faults in DC electrical power system. ACC 2009: 4334-4339 - [c62]Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorinevsky:
Mixed linear system estimation and identification. CDC 2009: 1501-1506 - [c61]Danny Dolev, Argyris Zymnis, Stephen P. Boyd, Danny Bickson, Yoav Tock:
Distributed large scale network utility maximization. ISIT 2009: 829-833 - [c60]Daniel O'Neill, Boon Sim Thian, Andrea J. Goldsmith, Stephen P. Boyd:
Wireless NUM: rate and reliability tradeoffs in random environments. WCNC 2009: 444-449 - [r1]Lieven Vandenberghe, Stephen P. Boyd, Shao-Po Wu:
Semidefinite Programming and Determinant Maximization. Encyclopedia of Optimization 2009: 3375-3380 - [i2]Danny Bickson, Yoav Tock, Argyris Zymnis, Stephen P. Boyd, Danny Dolev:
Distributed Large Scale Network Utility Maximization. CoRR abs/0901.2684 (2009) - [i1]Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander Ihler, Dror Baron:
Distributed Fault Identification via Non-parametric Belief Propagation. CoRR abs/0908.2005 (2009) - 2008
- [j47]Zizhuo Wang, Song Zheng, Yinyu Ye, Stephen P. Boyd:
Further Relaxations of the Semidefinite Programming Approach to Sensor Network Localization. SIAM J. Optim. 19(2): 655-673 (2008) - [j46]Seung-Jean Kim, Stephen P. Boyd:
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance. SIAM J. Optim. 19(3): 1344-1367 (2008) - [j45]Arpita Ghosh, Stephen P. Boyd, Amin Saberi:
Minimizing Effective Resistance of a Graph. SIAM Rev. 50(1): 37-66 (2008) - [j44]Dimitry M. Gorinevsky, Stephen P. Boyd, Gunter Stein:
Design of Low-Bandwidth Spatially Distributed Feedback. IEEE Trans. Autom. Control. 53(1): 257-272 (2008) - [j43]Siddharth Joshi, Stephen P. Boyd:
An Efficient Method for Large-Scale Gate Sizing. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(9): 2760-2773 (2008) - [j42]Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic, Stephen P. Boyd, Zhi-Quan Luo:
Robust Beamforming via Worst-Case SINR Maximization. IEEE Trans. Signal Process. 56(4): 1539-1547 (2008) - [j41]Joëlle Skaf, Stephen P. Boyd:
Filter Design With Low Complexity Coefficients. IEEE Trans. Signal Process. 56(7-2): 3162-3169 (2008) - [c59]Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Identification of stable genetic networks using convex programming. ACC 2008: 2755-2760 - [c58]Argyrios Zymnis, Stephen P. Boyd, Dimitry M. Gorinevsky:
Mixed state estimation for a linear Gaussian Markov model. CDC 2008: 3219-3226 - [c57]Srinivasan Murali, Almir Mutapcic, David Atienza, Rajesh Gupta, Stephen P. Boyd, Luca Benini, Giovanni De Micheli:
Temperature Control of High-Performance Multi-core Platforms Using Convex Optimization. DATE 2008: 110-115 - [c56]Daniel O'Neill, Andrea J. Goldsmith, Stephen P. Boyd:
Cross-Layer Design with Adaptive Modulation: Delay, Rate, and Energy Tradeoffs. GLOBECOM 2008: 4266-4271 - [c55]Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorinevsky:
Mixed state estimation for a linear Gaussian Markov model. ICARCV 2008: 1005-1011 - [c54]Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnani, Kwangmoo Koh, Stephen P. Boyd:
Learning the kernel via convex optimization. ICASSP 2008: 1997-2000 - [c53]Daniel O'Neill, Andrea J. Goldsmith, Stephen P. Boyd:
Optimizing Adaptive Modulation in Wireless Networks via Utility Maximization. ICC 2008: 3372-3377 - [p1]Michael C. Grant, Stephen P. Boyd:
Graph Implementations for Nonsmooth Convex Programs. Recent Advances in Learning and Control 2008: 95-110 - [e1]Vincent D. Blondel, Stephen P. Boyd, Hidenori Kimura:
Recent Advances in Learning and Control. Lecture Notes in Control and Information Sciences 371, Springer 2008, ISBN 978-1-84800-154-1 [contents] - 2007
- [j40]Miguel Sousa Lobo, Maryam Fazel, Stephen P. Boyd:
Portfolio optimization with linear and fixed transaction costs. Ann. Oper. Res. 152(1): 341-365 (2007) - [j39]Kwangmoo Koh, Seung-Jean Kim, Stephen P. Boyd:
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression. J. Mach. Learn. Res. 8: 1519-1555 (2007) - [j38]Lin Xiao, Stephen P. Boyd, Seung-Jean Kim:
Distributed average consensus with least-mean-square deviation. J. Parallel Distributed Comput. 67(1): 33-46 (2007) - [j37]Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd, Dimitry Gorinevsky:
An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares. J. Sel. Topics Signal Processing 1(4): 606-617 (2007) - [j36]Lieven Vandenberghe, Stephen P. Boyd, Katherine Comanor:
Generalized Chebyshev Bounds via Semidefinite Programming. SIAM Rev. 49(1): 52-64 (2007) - [j35]Almir Mutapcic, Seung-Jean Kim, Stephen P. Boyd:
Beamforming With Uncertain Weights. IEEE Signal Process. Lett. 14(5): 348-351 (2007) - [j34]Stephen P. Boyd, Ben Wegbreit:
Fast Computation of Optimal Contact Forces. IEEE Trans. Robotics 23(6): 1117-1132 (2007) - [c52]Kwangmoo Koh, Seung-Jean Kim, Stephen P. Boyd:
A Method for Large-Scale l1-Regularized Logistic Regression. AAAI 2007: 565-571 - [c51]Seung-Jean Kim, Stephen P. Boyd:
A minimax theorem with applications to machine learning, signal processing, and finance. CDC 2007: 751-758 - [c50]Srinivasan Murali, Almir Mutapcic, David Atienza, Rajesh Gupta, Stephen P. Boyd, Giovanni De Micheli:
Temperature-aware processor frequency assignment for MPSoCs using convex optimization. CODES+ISSS 2007: 111-116 - [c49]Almir Mutapcic, Seung-Jean Kim, Stephen P. Boyd:
Robust Chebyshev FIR Equalization. GLOBECOM 2007: 3074-3079 - [c48]Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen P. Boyd:
An Efficient Method for Compressed Sensing. ICIP (3) 2007: 117-120 - 2006
- [j33]Aharon Ben-Tal, Stephen P. Boyd, Arkadi Nemirovski:
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems. Math. Program. 107(1-2): 63-89 (2006) - [j32]Jun Sun, Stephen P. Boyd, Lin Xiao, Persi Diaconis:
The Fastest Mixing Markov Process on a Graph and a Connection to a Maximum Variance Unfolding Problem. SIAM Rev. 48(4): 681-699 (2006) - [j31]Stephen P. Boyd, Persi Diaconis, Jun Sun, Lin Xiao:
Fastest Mixing Markov Chain on a Path. Am. Math. Mon. 113(1): 70-74 (2006) - [j30]Dimitry Gorinevsky, Stephen P. Boyd:
Optimization-based design and implementation of multidimensional zero-phase IIR filters. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(2): 372-383 (2006) - [j29]Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah:
Randomized gossip algorithms. IEEE Trans. Inf. Theory 52(6): 2508-2530 (2006) - [c47]Wathanyoo Khaisongkram, Stephen P. Boyd, David Banjerdpongchai:
A Linear Programming Approach for the Worst-Case Norm of Uncertain Linear Systems Subject to Disturbances with Magnitude and Rate Bounds. CDC 2006: 4399-4404 - [c46]Arpita Ghosh, Stephen P. Boyd:
Growing Well-connected Graphs. CDC 2006: 6605-6611 - [c45]Seung-Jean Kim, Alessandro Magnani, Stephen P. Boyd:
Optimal kernel selection in Kernel Fisher discriminant analysis. ICML 2006: 465-472 - [c44]Seung-Jean Kim, Alessandro Magnani, Sikandar Samar, Stephen P. Boyd, Johan Lim:
Pareto optimal linear classification. ICML 2006: 473-480 - [c43]Lin Xiao, Jun Sun, Stephen P. Boyd:
A duality view of spectral methods for dimensionality reduction. ICML 2006: 1041-1048 - [c42]Lin Xiao, Stephen P. Boyd, Sanjay Lall:
A space-time diffusion scheme for peer-to-peer least-squares estimation. IPSN 2006: 168-176 - 2005
- [j28]Stephen P. Boyd, Persi Diaconis, Pablo A. Parrilo, Lin Xiao:
Symmetry Analysis of Reversible Markov Chains. Internet Math. 2(1): 31-71 (2005) - [j27]Stephen P. Boyd, Seung-Jean Kim, Dinesh Patil, Mark Horowitz:
Digital Circuit Optimization via Geometric Programming. Oper. Res. 53(6): 899-932 (2005) - [j26]Luis Rodrigues, Stephen P. Boyd:
Piecewise-affine state feedback for piecewise-affine slab systems using convex optimization. Syst. Control. Lett. 54(9): 835-853 (2005) - [j25]Stephen P. Boyd, Lin Xiao:
Least-Squares Covariance Matrix Adjustment. SIAM J. Matrix Anal. Appl. 27(2): 532-546 (2005) - [j24]Robert G. Lorenz, Stephen P. Boyd:
Robust minimum variance beamforming. IEEE Trans. Signal Process. 53(5): 1684-1696 (2005) - [c41]Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah:
Mixing Times for Random Walks on Geometric Random Graphs. ALENEX/ANALCO 2005: 240-249 - [c40]Kan-Lin Hsiung, Seung-Jean Kim, Stephen P. Boyd:
Power control in lognormal fading wireless channels with uptime probability specifications via robust geometric programming. ACC 2005: 3955-3959 - [c39]Alessandro Magnani, Sanjay Lall, Stephen P. Boyd:
Tractable fitting with convex polynomials via sum-of-squares. CDC/ECC 2005: 1672-1677 - [c38]Sikandar Samar, Dimitry Gorinevsky, Stephen P. Boyd:
Likelihood Bounds for Constrained Estimation with Uncertainty. CDC/ECC 2005: 5704-5709 - [c37]Yang Xu, Kan-Lin Hsiung, Xin Li, Ivan Nausieda, Stephen P. Boyd, Lawrence T. Pileggi:
OPERA: optimization with ellipsoidal uncertainty for robust analog IC design. DAC 2005: 632-637 - [c36]Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah:
Gossip algorithms: design, analysis and applications. INFOCOM 2005: 1653-1664 - [c35]Lin Xiao, Stephen P. Boyd, Sanjay Lall:
A scheme for robust distributed sensor fusion based on average consensus. IPSN 2005: 63-70 - [c34]Stephen P. Boyd, Seung-Jean Kim:
Geometric programming for circuit optimization. ISPD 2005: 44-46 - [c33]Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin Cheung, Mark Horowitz, Stephen P. Boyd:
A New Method for Design of Robust Digital Circuits. ISQED 2005: 676-681 - [c32]Seung-Jean Kim, Alessandro Magnani, Stephen P. Boyd:
Robust Fisher Discriminant Analysis. NIPS 2005: 659-666 - 2004
- [j23]Lin Xiao, Stephen P. Boyd:
Fast linear iterations for distributed averaging. Syst. Control. Lett. 53(1): 65-78 (2004) - [j22]Stephen P. Boyd, Persi Diaconis, Lin Xiao:
Fastest Mixing Markov Chain on a Graph. SIAM Rev. 46(4): 667-689 (2004) - [j21]Lin Xiao, Mikael Johansson, Stephen P. Boyd:
Simultaneous routing and resource allocation via dual decomposition. IEEE Trans. Commun. 52(7): 1136-1144 (2004) - [j20]Wei Yu, Wonjong Rhee, Stephen P. Boyd, John M. Cioffi:
Iterative water-filling for Gaussian vector multiple-access channels. IEEE Trans. Inf. Theory 50(1): 145-152 (2004) - [j19]Mung Chiang, Stephen P. Boyd:
Geometric programming duals of channel capacity and rate distortion. IEEE Trans. Inf. Theory 50(2): 245-258 (2004) - [j18]Pankaj Gupta, Balaji Prabhakar, Stephen P. Boyd:
Near-optimal depth-constrained codes. IEEE Trans. Inf. Theory 50(12): 3294-3298 (2004) - [j17]Tajana Simunic, Stephen P. Boyd, Peter W. Glynn:
Managing power consumption in networks on chips. IEEE Trans. Very Large Scale Integr. Syst. 12(1): 96-107 (2004) - [c31]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
Rank minimization and applications in system theory. ACC 2004: 3273-3278 - [c30]Luis Rodrigues, Stephen P. Boyd:
Piecewise-affine state feedback using convex optimization. ACC 2004: 5164-5169 - [c29]Robin L. Raffard, Claire J. Tomlin, Stephen P. Boyd:
Distributed optimization for cooperative agents: application to formation flight. CDC 2004: 2453-2459 - [c28]Sikandar Samar, Dimitry Gorinevsky, Stephen P. Boyd:
Moving horizon filter for monotonic trends. CDC 2004: 3115-3120 - [c27]Cedric Langbort, Lin Xiao, Raffaello D'Andrea, Stephen P. Boyd:
A decomposition approach to distributed analysis of networked systems. CDC 2004: 3980-3985 - [c26]Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah:
Analysis and optimization of randomized gossip algorithms. CDC 2004: 5310-5315 - [c25]Yang Xu, Lawrence T. Pileggi, Stephen P. Boyd:
ORACLE: optimization with recourse of analog circuits including layout extraction. DAC 2004: 151-154 - [c24]Elad Alon, Vladimir Stojanovic, Joseph M. Kahn, Stephen P. Boyd, Mark Horowitz:
Equalization of modal dispersion in multimode fiber using spatial light modulators. GLOBECOM 2004: 1023-1029 - [c23]Daniel O'Neill, Yan Li, Stephen P. Boyd:
MP-DSM: a distributed cross layer network control protocol. ICC 2004: 2102-2106 - 2003
- [j16]Lin Xiao, Mikael Johansson, Haitham A. Hindi, Stephen P. Boyd, Andrea Goldsmith:
Joint optimization of communication rates and linear systems. IEEE Trans. Autom. Control. 48(1): 148-153 (2003) - [c22]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. ACC 2003: 2156-2162 - [c21]Dimitry Gorinevsky, Stephen P. Boyd, Gunter Stein:
Optimization-based tuning of low-bandwidth control in spatially distributed systems. ACC 2003: 2658-2663 - [c20]Lin Xiao, Stephen P. Boyd:
Fast linear iterations for distributed averaging. CDC 2003: 4997-5002 - [c19]David M. Colleran, Clemenz L. Portmann, Arash Hassibi, César A. R. Crusius, Sunderarajan S. Mohan, Stephen P. Boyd, Thomas H. Lee, Maria del Mar Hershenson:
Optimization of phase-locked loop circuits via geometric programming. CICC 2003: 377-380 - [c18]Lin Xiao, Mikael Johansson, Haitham A. Hindi, Stephen P. Boyd, Andrea J. Goldsmith:
Joint Optimization of Wireless Communication and Networked Control Systems. European Summer School on Multi-AgentControl 2003: 248-272 - [c17]Mikael Johansson, Lin Xiao, Stephen P. Boyd:
Simultaneous routing and power allocation in CDMA wireless data networks. ICC 2003: 51-55 - [c16]Brian Towles, William J. Dally, Stephen P. Boyd:
Throughput-centric routing algorithm design. SPAA 2003: 200-209 - 2002
- [j15]Sunil Kandukuri, Stephen P. Boyd:
Optimal power control in interference-limited fading wireless channels with outage-probability specifications. IEEE Trans. Wirel. Commun. 1(1): 46-55 (2002) - [c15]Haitham A. Hindi, Chang-Yun Seong, Stephen P. Boyd:
Computing optimal uncertainty models from frequency domain data. CDC 2002: 2898-2905 - [c14]Tajana Simunic, Stephen P. Boyd:
Managing Power Consumption in Networks on Chip. DATE 2002: 110-116 - [c13]Mung Chiang, Arak Sutivong, Stephen P. Boyd:
Efficient nonlinear optimizations of queuing systems. GLOBECOM 2002: 2425-2429 - [c12]Robert G. Lorenz, Stephen P. Boyd:
An ellipsoidal approximation to the Hadamard product of ellipsoids. ICASSP 2002: 1193-1196 - [c11]David Julian, Mung Chiang, Daniel O'Neill, Stephen P. Boyd:
QoS and Fairness Constrained Convex Optimization of Resource Allocation for Wireless Cellular and Ad Hoc Networks. INFOCOM 2002: 477-486 - 2001
- [j14]Maria del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee:
Optimal design of a CMOS op-amp via geometric programming. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(1): 1-21 (2001) - [c10]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
A rank minimization heuristic with application to minimum order system approximation. ACC 2001: 4734-4739 - [c9]Lin Xiao, Mikael Johansson, Haitam Hindi, Stephen P. Boyd, Andrea Goldsmith:
Joint optimization of communication rates and linear systems. CDC 2001: 2321-2326 - [c8]Stephen P. Boyd, Lieven Vandenberghe, Abbas El Gamal, Sunghee Yun:
Design of robust global power and ground networks. ISPD 2001: 60-65 - 2000
- [j13]Sunderarajan S. Mohan, Maria del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee:
Bandwidth extension in CMOS with optimized on-chip inductors. IEEE J. Solid State Circuits 35(3): 346-355 (2000) - [c7]Robert L. Kosut, Wonzoo Chung, C. Richard Johnson Jr., Stephen P. Boyd:
On achieving reduced error propagation sensitivity in DFE design via convex optimization. CDC 2000: 4320-4323 - [c6]Pankaj Gupta, Balaji Prabhakar, Stephen P. Boyd:
Near Optimal Routing Lookups with Bounded Worst Case Performance. INFOCOM 2000: 1184-1192
1990 – 1999
- 1999
- [j12]Sunderarajan S. Mohan, Maria del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee:
Simple accurate expressions for planar spiral inductances. IEEE J. Solid State Circuits 34(10): 1419-1424 (1999) - [c5]Maria del Mar Hershenson, Sunderarajan S. Mohan, Stephen P. Boyd, Thomas H. Lee:
Optimization of Inductor Circuits via Geometric Programming. DAC 1999: 994-998 - [c4]Maria del Mar Hershenson, Ali Hajimiri, Sunderarajan S. Mohan, Stephen P. Boyd, Thomas H. Lee:
Design and optimization of LC oscillators. ICCAD 1999: 65-69 - 1998
- [j11]Lieven Vandenberghe, Stephen P. Boyd, Shao-Po Wu:
Determinant Maximization with Linear Matrix Inequality Constraints. SIAM J. Matrix Anal. Appl. 19(2): 499-533 (1998) - [j10]Lieven Vandenberghe, Stephen P. Boyd, Abbas A. El Gamal:
Optimizing dominant time constant in RC circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 17(2): 110-125 (1998) - [j9]Arash Hassibi, Stephen P. Boyd:
Integer parameter estimation in linear models with applications to GPS. IEEE Trans. Signal Process. 46(11): 2938-2952 (1998) - [c3]Maria del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee:
GPCAD: a tool for CMOS op-amp synthesis. ICCAD 1998: 296-303 - [c2]Maria del Mar Hershenson, Stephen P. Boyd, Thomas H. Lee:
Automated design of folded-cascode op-amps with sensitivity analysis. ICECS 1998: 121-124 - 1997
- [j8]Elon Rimon, Stephen P. Boyd:
Obstacle Collision Detection Using Best Ellipsoid Fit. J. Intell. Robotic Syst. 18(2): 105-126 (1997) - [j7]Hervé Lebret, Stephen P. Boyd:
Antenna array pattern synthesis via convex optimization. IEEE Trans. Signal Process. 45(3): 526-532 (1997) - [c1]Lieven Vandenberghe, Stephen P. Boyd, Abbas El Gamal:
Optimal wire and transistor sizing for circuits with non-tree topology. ICCAD 1997: 252-259 - 1996
- [j6]Lieven Vandenberghe, Stephen P. Boyd:
Semidefinite Programming. SIAM Rev. 38(1): 49-95 (1996) - 1995
- [j5]Lieven Vandenberghe, Stephen P. Boyd:
A primal-dual potential reduction method for problems involving matrix inequalities. Math. Program. 69: 205-236 (1995) - 1994
- [b1]Stephen P. Boyd, Laurent El Ghaoui, Eric M. Feron, Venkataramanan Balakrishnan:
Linear Matrix Inequalities in System and Control Theory. Studies in Applied Mathematics 15, SIAM 1994, ISBN 978-0-89871-485-2 - [j4]Joseph Pang, Fouad A. Tobagi, Stephen P. Boyd:
Generalized access control strategies for integrated services token passing systems. IEEE Trans. Commun. 42(8): 2561-2570 (1994) - 1991
- [j3]Michael L. Honig, Stephen P. Boyd, B. Gopinath, Erik Rantapaa:
On optimal signal sets for digital communications with finite precision and amplitude constraints. IEEE Trans. Commun. 39(2): 249-255 (1991) - 1990
- [j2]Michael L. Honig, Kenneth Steiglitz, B. Gopinath, Stephen P. Boyd:
Bounds on maximum throughput for digital communications with finite-precision and amplitude constraints. IEEE Trans. Inf. Theory 36(3): 472-484 (1990)
1980 – 1989
- 1986
- [j1]Stephen P. Boyd, S. Shankar Sastry:
Necessary and sufficient conditions for parameter convergence in adaptive control. Autom. 22(6): 629-639 (1986)
Coauthor Index
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