Akshay Agrawal

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 21

Top Topics

Convex Optimization

Top Venues

IEEE Control. Syst. Lett.

Publications

Maximilian Schaller, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6 (2022)
Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
Allocation of fungible resources via a fast, scalable price discovery method. Math. Program. Comput. 14 (3) (2022)
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
Minimum-Distortion Embedding. Found. Trends Mach. Learn. 14 (3) (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. CoRR (2021)
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd
Learning Convex Optimization Models. IEEE CAA J. Autom. Sinica 8 (8) (2021)
Deepak Narayanan, Fiodar Kazhamiaka, Firas Abuzaid, Peter Kraft, Akshay Agrawal, Srikanth Kandula, Stephen Boyd, Matei Zaharia
Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP. SOSP (2021)
Akshay Agrawal, Alnur Ali, Stephen P. Boyd
Minimum-Distortion Embedding. CoRR (2021)
Akshay Agrawal, Stephen P. Boyd, Deepak Narayanan, Fiodar Kazhamiaka, Matei Zaharia
Allocation of Fungible Resources via a Fast, Scalable Price Discovery Method. CoRR (2021)
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd
Learning Convex Optimization Models. CoRR (2020)
Akshay Agrawal, Stephen P. Boyd
Disciplined quasiconvex programming. Optim. Lett. 14 (7) (2020)
Ankush Chunn, Akshay Agrawal, Alok Naugarhiya
An 8T TG-DTMOS Based Subthreshold SRAM Cell with Improved Write Ability and Access Times. VDAT (2020)
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
Learning Convex Optimization Control Policies. L4DC (2020)
Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato
Learning Convex Optimization Control Policies. CoRR (2019)
Akshay Agrawal, Stephen P. Boyd
Disciplined Quasiconvex Programming. CoRR (2019)
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. MLSys (2019)
Akshay Agrawal, Steven Diamond, Stephen P. Boyd
Disciplined geometric programming. Optim. Lett. 13 (5) (2019)
Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. CoRR (2019)
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
Differentiable Convex Optimization Layers. CoRR (2019)
Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter
Differentiable Convex Optimization Layers. NeurIPS (2019)
Akshay Agrawal, Steven Diamond, Stephen P. Boyd
Disciplined Geometric Programming. CoRR (2018)
Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd
A Rewriting System for Convex Optimization Problems. CoRR (2017)
Akshay Agrawal, Jagadish Venkatraman, Shane Leonard, Andreas Paepcke
YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. EDM (2015)
Sandeep Neema, Gabor Simko, Tihamer Levendovszky, Joseph Porter, Akshay Agrawal, Janos Sztipanovits
Formalization of software models for cyber-physical systems. FormaliSE (2014)
Amjed Shareef, Akshay Agrawal, C. Pandu Rangan
Collusion Free Protocol for Correlated Element Selection Problem. IACR Cryptol. ePrint Arch. 2010 (2010)