Skip to content
conftrace_

Stephen Boyd

17 papers · 2007–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) πŸƒ Academic Marathon Β· Full 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🌟 Keyword Trendsetter Combo (3) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (99) πŸ’Ž Century Club Β· Bronze

Venues

JMLR (6) NeurIPS (4) L4DC (3) AAAI (1) AISTATS (1) ICCV (1) IJCAI (1)

Top co-authors

Shane Barratt (4) Steven Diamond (4) David Hallac (3) Jure Leskovec (3) Weijie Su (2) Akshay Agrawal (2) J. Zico Kolter (1) Sagar Vare (1) Vikas Sindhwani (1) Alex McCauley (1)

Research topics

Mathematics & Optimization (14) Machine Learning (13) Optimization (13) Optimization & Theory (9) Core Methods (6) Computer Science (5) Mathematics (3) Artificial Intelligence (2) Deep Learning (2) Robotics (2) Applications (2) Core AI (2) Foundations (2) Learning Types (2) Systems (2)

Keywords

convex optimization (10) alternating direction method of multiplier (3) feature selection (2) markov random field (2) accelerated gradient method (2) gradient descent (2) linear convergence (2) differential equation (2) distributed optimization (2) non-convex optimization (1) time series clustering (1) conformal prediction (1) laplacian regularization (1) optimal transport (1) stochastic gradient (1) structure learning (1) policy gradient (1) sample efficiency (1) model predictive control (1) deep learning (1)

Papers

Informative Input Design for Dynamic Mode Decomposition L4DC 2025 A Distributed Method for Fitting Laplacian Regularized Stratified Models JMLR 2021 Sample Efficient Reinforcement Learning with REINFORCE AAAI 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 NeurIPS 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 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017 A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights JMLR 2016 CVXPY: A Python-Embedded Modeling Language for Convex Optimization JMLR 2016 Convex Optimization With Abstract Linear Operators ICCV 2015 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 Accuracy at the Top NeurIPS 2012 An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression JMLR 2007