Akshay Agrawal

Affiliations:
  • Stanford University, Department of Electrical Engineering, CA, USA


According to our database1, Akshay Agrawal authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Computing tighter bounds on the n-queens constant via Newton's method.
Optim. Lett., June, 2023

Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models.
CoRR, 2023

2022
Allocation of fungible resources via a fast, scalable price discovery method.
Math. Program. Comput., 2022

Embedded Code Generation With CVXPY.
IEEE Control. Syst. Lett., 2022

2021
Learning Convex Optimization Models.
IEEE CAA J. Autom. Sinica, 2021

Minimum-Distortion Embedding.
Found. Trends Mach. Learn., 2021

Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP.
Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

2020
Disciplined quasiconvex programming.
Optim. Lett., 2020

Learning Convex Optimization Control Policies.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Disciplined geometric programming.
Optim. Lett., 2019

Differentiable Convex Optimization Layers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A rewriting system for convex optimization problems.
J. Control. Decis., 2018


  Loading...