Stephen Boyd
Identifiers
- name variant Stephen Boyd 0.60 · backfill
Papers (55)
- CvxCluster: Solving Large, Complex, Granular Resource Allocation Problems 100-1000x Faster cs.DC · 2026 · author #2
- Presolving for GPU-Accelerated First-Order LP Solvers math.OC · 2026 · author #2
- Estimating Price Elasticity Matrices math.OC · 2026 · author #2
- A Note on Optimal Product Pricing math.OC · 2025 · author #2
- An Operator Splitting Method for Large-Scale CVaR-Constrained Quadratic Programs math.OC · 2025 · author #4
- Multiple Approximate-Response Agents (MARA): Fast Near-Optimal Primal Recovery for Distributed Optimization math.OC · 2025 · author #4
- Home Battery Dispatch under a Tiered Peak Power Tariff math.OC · 2023 · author #3
- A General Optimization Framework for Dynamic Time Warping cs.LG · 2019 · author #2
- Least Squares Auto-Tuning math.OC · 2019 · author #2
- Dynamic Energy Management math.OC · 2019 · author #3
- Disciplined Geometric Programming math.OC · 2018 · author #3
- Stochastic Control with Affine Dynamics and Extended Quadratic Costs math.OC · 2018 · author #2
- Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data cs.LG · 2018 · author #3
- A Convex Optimization Approach to Radiation Treatment Planning with Dose Constraints physics.med-ph · 2018 · author #4
- Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations math.OC · 2018 · author #3
- Network Optimization for Unified Packet and Circuit Switched Networks cs.NI · 2018 · author #4
- Distributed Majorization-Minimization for Laplacian Regularized Problems math.OC · 2018 · author #3
- A Rewriting System for Convex Optimization Problems math.OC · 2017 · author #4
- On the convergence of mirror descent beyond stochastic convex programming math.OC · 2017 · author #4
- Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data cs.LG · 2017 · author #3
- A Distributed Method for Optimal Capacity Reservation cs.DC · 2017 · author #4
- Multi-Period Trading via Convex Optimization q-fin.PM · 2017 · author #1
- General Heuristics for Nonconvex Quadratically Constrained Quadratic Programming math.OC · 2017 · author #2
- Network Inference via the Time-Varying Graphical Lasso cs.LG · 2017 · author #3
- Linear Programming Heuristics for the Graph Isomorphism Problem math.OC · 2016 · author #2
- Greedy Gaussian Segmentation of Multivariate Time Series math.OC · 2016 · author #3
- Saturating Splines and Feature Selection stat.ML · 2016 · author #3
- A New Architecture for Optimization Modeling Frameworks math.OC · 2016 · author #4
- Disciplined Multi-Convex Programming math.OC · 2016 · author #5
- Convolutional Imputation of Matrix Networks cs.LG · 2016 · author #3
- Disciplined Convex-Concave Programming math.OC · 2016 · author #4
- Line Search for Averaged Operator Iteration math.OC · 2016 · author #3
- Risk-Constrained Kelly Gambling q-fin.PM · 2016 · author #3
- CVXPY: A Python-Embedded Modeling Language for Convex Optimization math.OC · 2016 · author #2
- Stochastic Matrix-Free Equilibration math.OC · 2016 · author #2
- A General System for Heuristic Solution of Convex Problems over Nonconvex Sets math.OC · 2016 · author #3
- Optimal Current Waveforms for Switched-Reluctance Motors cs.SY · 2016 · author #2
- Concave Quadratic Cuts for Mixed-Integer Quadratic Problems math.OC · 2015 · author #2
- Volume Weighted Average Price Optimal Execution q-fin.TR · 2015 · author #2
- A Simple Effective Heuristic for Embedded Mixed-Integer Quadratic Programming math.OC · 2015 · author #3
- SnapVX: A Network-Based Convex Optimization Solver cs.SI · 2015 · author #6
- Network Lasso: Clustering and Optimization in Large Graphs cs.SI · 2015 · author #3
- Matrix-Free Convex Optimization Modeling math.OC · 2015 · author #2
- A Semidefinite Programming Method for Integer Convex Quadratic Minimization math.OC · 2015 · author #2
- Parameter Selection and Pre-Conditioning for a Graph Form Solver math.OC · 2015 · author #2
- A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights stat.ML · 2015 · author #2
- Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM math.OC · 2014 · author #2
- Convex Optimization in Julia math.OC · 2014 · author #6
- Bounding Duality Gap for Separable Problems with Linear Constraints math.OC · 2014 · author #2
- Generalized Low Rank Models stat.ML · 2014 · author #4
- Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding math.OC · 2013 · author #4
- Message Passing for Dynamic Network Energy Management math.OC · 2012 · author #4
- An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems stat.ML · 2012 · author #2
- Distributed Large Scale Network Utility Maximization cs.IT · 2009 · author #4
- Fastest mixing Markov chain on graphs with symmetries math.PR · 2007 · author #1
Mentions
Frequent Coauthors
- Steven Diamond 14 shared papers
- David Hallac 6 shared papers
- Enzo Busseti 4 shared papers
- Jure Leskovec 4 shared papers
- Madeleine Udell 4 shared papers
- Nicholas Moehle 4 shared papers
- Jaehyun Park 3 shared papers
- Reza Takapoui 3 shared papers
- Shane Barratt 3 shared papers
- Xinyue Shen 3 shared papers
- Akshay Agrawal 2 shared papers
- Brendan O'Donoghue 2 shared papers
- David P\'erez-Pi\~neiro 2 shared papers
- Eric Chu 2 shared papers
- Matt Wytock 2 shared papers
- Maximilian Schaller 2 shared papers
- Peter Nystrup 2 shared papers
- Pontus Giselsson 2 shared papers
- Yuantao Gu 2 shared papers
- Abhijit Sharang 1 shared papers