Akshay Agrawal

21 papers A* 2Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Computing tighter bounds on the n-queens constant via Newton's method. Optim. Lett. Parth Nobel, Akshay Agrawal, Stephen P. Boyd
2023	J	`jnl`	Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd
2022	J	`jnl`	Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
2022	J	`jnl`	Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd
2021	J	`jnl`	Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
2021	J	`jnl`	Learning Convex Optimization Models. IEEE CAA J. Autom. Sinica Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd
2021	J	`jnl`	Minimum-Distortion Embedding. CoRR Akshay Agrawal, Alnur Ali, Stephen P. Boyd
2021	J	`jnl`	Minimum-Distortion Embedding. Found. Trends Mach. Learn. Akshay Agrawal, Alnur Ali, Stephen P. Boyd
2021	A*	`conf`	Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia
2021	J	`jnl`	Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen P. Boyd, Matei Zaharia
2020	J	`jnl`	Disciplined quasiconvex programming. Optim. Lett. Akshay Agrawal, Stephen P. Boyd
2020	—	`conf`	Learning Convex Optimization Control Policies. L4DC Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
2020	J	`jnl`	Learning Convex Optimization Models. CoRR Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd
2019	A*	`conf`	Differentiable Convex Optimization Layers. NeurIPS Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
2019	J	`jnl`	Differentiable Convex Optimization Layers. CoRR Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
2019	J	`jnl`	Disciplined Quasiconvex Programming. CoRR Akshay Agrawal, Stephen P. Boyd
2019	J	`jnl`	Disciplined geometric programming. Optim. Lett. Akshay Agrawal, Steven Diamond, Stephen P. Boyd
2019	J	`jnl`	Learning Convex Optimization Control Policies. CoRR Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
2018	J	`jnl`	A rewriting system for convex optimization problems. J. Control. Decis. Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd
2018	J	`jnl`	Disciplined Geometric Programming. CoRR Akshay Agrawal, Steven Diamond, Stephen P. Boyd
2017	J	`jnl`	A Rewriting System for Convex Optimization Problems. CoRR Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd