Shane Barratt

4 papers · 2019–2021 · 3 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

L4DC (2) JMLR (1) NeurIPS (1)

Top co-authors

Stephen Boyd (4) Akshay Agrawal (2) Vikas Sindhwani (1) Malayandi Palan (1) Steven Diamond (1) Brandon Amos (1) Bartolomeo Stellato (1) Jonathan Tuck (1) Alex McCauley (1) Dorsa Sadigh (1)

Research topics

Mathematics & Optimization (4) Optimization (4) Machine Learning (3) Robotics (2) Optimization & Theory · Machine Learning (2) Systems (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

admm optimization (1) conformal prediction (1) convex optimization (1) laplacian regularization (1) optimal transport (1) deep learning (1) model predictive control (1) distributed optimization (1) automatic differentiation (1) graph-based learning (1) differentiable programming (1) linear quadratic regulator (1) distributionally robust optimization (1) parameter tuning (1) alternating direction method of multiplier (1) convex optimization control policy (1) approximate gradient (1) linear control policy (1) policy fitting (1) kalman constraint (1)

Papers

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 NeurIPS 2019