Stephen Boyd
17 papers · 2007–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Academic Marathon (18)
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Academic Marathon
(18)
ποΈ
Keyword Collector
(89)
π
Trend Setter
π
Century Club
(17)
π₯
Unstoppable
(8)
π
Conference Pioneer
Conferences
JMLR (6)
NIPS (4)
L4DC (3)
AAAI (1)
AISTATS (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
convex optimization
(9)
alternating direction method of multiplier
(3)
distributed optimization
(2)
gradient descent
(2)
differential equation
(2)
feature selection
(2)
markov random field
(2)
non-convex optimization
(1)
conformal prediction
(1)
stochastic gradient
(1)
time series clustering
(1)
structure learning
(1)
laplacian regularization
(1)
optimal transport
(1)
policy gradient
(1)
sample efficiency
(1)
model predictive control
(1)
deep learning
(1)
logistic regression
(1)
convergence analysis
(1)
Papers
Informative Input Design for Dynamic Mode Decomposition
L4DC 2025
Sample Efficient Reinforcement Learning with REINFORCE
AAAI 2021
A Distributed Method for Fitting Laplacian Regularized Stratified Models
JMLR 2021
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint
L4DC 2020
Learning Convex Optimization Control Policies
L4DC 2020
Differentiable Convex Optimization Layers
NIPS 2019
Saturating Splines and Feature Selection
JMLR 2018
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data
IJCAI 2018
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
AISTATS 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
NIPS 2017
SnapVX: A Network-Based Convex Optimization Solver
JMLR 2017
CVXPY: A Python-Embedded Modeling Language for Convex Optimization
JMLR 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
JMLR 2016
Convex Optimization With Abstract Linear Operators
ICCV 2015
A Differential Equation for Modeling Nesterovβs Accelerated Gradient Method: Theory and Insights
NIPS 2014
Accuracy at the Top
NIPS 2012
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
JMLR 2007