Akshay Agrawal

2 papers · 2019–2020 · 2 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 · Bronze 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

L4DC (1) NeurIPS (1)

Top co-authors

Stephen Boyd (2) Shane Barratt (2) J. Zico Kolter (1) Steven Diamond (1) Brandon Amos (1) Bartolomeo Stellato (1)

Research topics

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

Keywords

conformal prediction (1) convex optimization (1) optimal transport (1) deep learning (1) model predictive control (1) automatic differentiation (1) differentiable programming (1) linear quadratic regulator (1) distributionally robust optimization (1) parameter tuning (1) convex optimization control policy (1) approximate gradient (1) convex layer (1) disciplined convex programming (1) model layer (1)

Papers

Learning Convex Optimization Control Policies L4DC 2020 Differentiable Convex Optimization Layers NeurIPS 2019