Akshay Agrawal
Akshay Agrawal
Ph.D. candidate in Electrical Engineering, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
A rewriting system for convex optimization problems
A Agrawal, R Verschueren, S Diamond, S Boyd
Journal of Control and Decision 5 (1), 42-60, 2018
1492018
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in Neural Information Processing Systems (NeurIPS), 2019
572019
YouEDU: Addressing confusion in MOOC discussion forums by recommending instructional video clips
A Agrawal, J Venkatraman, S Leonard, A Paepcke
International Conference on Educational Data Mining, 297-304, 2015
572015
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning
A Agrawal, AN Modi, A Passos, A Lavoie, A Agarwal, A Shankar, ...
Systems for Machine Learning (SysML), 2019
292019
Differentiating through a cone program
A Agrawal, S Barratt, S Boyd, E Busseti, WM Moursi
Journal of Applied and Numerical Optimization 1 (2), 107–115, 2019
212019
Disciplined geometric programming
A Agrawal, S Diamond, S Boyd
Optimization Letters 13 (5), 961–976, 2019
102019
The Stanford MOOCPosts Dataset
A Agrawal, J Venkatraman, A Paepcke
72014
Disciplined quasiconvex programming
A Agrawal, S Boyd
Optimization Letters, 2020
42020
Learning convex optimization control policies
A Agrawal, S Barratt, S Boyd, B Stellato
Learning for Dynamics and Control, 2019
42019
Cosine siamese models for stance detection
A Agrawal, D Chin, K Chen
Technical Report, 2017
32017
Differentiating through log-log convex programs
A Agrawal, S Boyd
arXiv preprint arXiv:2004.12553, 2020
12020
Xavier : A reinforcement-learning approach to TCP congestion control
A Agrawal
Technical Report, 2016
12016
Learning convex optimization models
A Agrawal, S Barratt, S Boyd
arXiv preprint arXiv:2006.04248, 2020
2020
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Articles 1–13