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2020 – today
- 2022
[j12]Maximilian Schaller
, Goran Banjac, Steven Diamond, Akshay Agrawal, Bartolomeo Stellato, Stephen P. Boyd:
Embedded Code Generation With CVXPY. IEEE Control. Syst. Lett. 6: 2653-2658 (2022)- [i10]Eric Luxenberg, Stephen P. Boyd, Mykel J. Kochenderfer, Misha van Beek, Wen Cao, Steven Diamond, Alex Ulitsky, Kunal Menda, Vidy Vairavamurthy:
Strategic Asset Allocation with Illiquid Alternatives. CoRR abs/2207.07767 (2022) - 2021
- [j11]Steven Diamond, Vincent Sitzmann, Frank D. Julca-Aguilar, Stephen P. Boyd, Gordon Wetzstein, Felix Heide:
Dirty Pixels: Towards End-to-end Image Processing and Perception. ACM Trans. Graph. 40(3): 23:1-23:15 (2021) - 2020
- [b1]Steven Diamond:
Domain-specific languages for convex and non-convex optimization. Stanford University, USA, 2020
2010 – 2019
- 2019
- [j10]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined geometric programming. Optim. Lett. 13(5): 961-976 (2019) - [j9]Felix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein:
Non-line-of-sight Imaging with Partial Occluders and Surface Normals. ACM Trans. Graph. 38(3): 22:1-22:10 (2019) - [c11]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570 - [i9]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. CoRR abs/1910.12430 (2019) - 2018
- [j8]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A rewriting system for convex optimization problems. J. Control. Decis. 5(1): 42-60 (2018) - [j7]Steven Diamond, Reza Takapoui, Stephen P. Boyd:
A general system for heuristic minimization of convex functions over non-convex sets. Optim. Methods Softw. 33(1): 165-193 (2018) - [j6]Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein:
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37(4): 114 (2018) - [i8]Ping Yin, Steven Diamond, Bill Lin, Stephen P. Boyd:
Network Optimization for Unified Packet and Circuit Switched Networks. CoRR abs/1808.00586 (2018) - [i7]Akshay Agrawal, Steven Diamond, Stephen P. Boyd:
Disciplined Geometric Programming. CoRR abs/1812.04074 (2018) - 2017
- [j5]Stephen P. Boyd, Enzo Busseti, Steven Diamond, Ronald N. Kahn, Kwangmoo Koh, Peter Nystrup, Jan Speth:
Multi-Period Trading via Convex Optimization. Found. Trends Optim. 3(1): 1-76 (2017) - [j4]David Hallac, Christopher Wong, Steven Diamond, Abhijit Sharang, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. J. Mach. Learn. Res. 18: 4:1-4:5 (2017) - [j3]Steven Diamond, Stephen P. Boyd:
Stochastic Matrix-Free Equilibration. J. Optim. Theory Appl. 172(2): 436-454 (2017) - [c10]Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein:
Reconstructing Transient Images from Single-Photon Sensors. CVPR 2017: 2289-2297 - [i6]Steven Diamond, Vincent Sitzmann, Stephen P. Boyd, Gordon Wetzstein, Felix Heide:
Dirty Pixels: Optimizing Image Classification Architectures for Raw Sensor Data. CoRR abs/1701.06487 (2017) - [i5]Steven Diamond, Vincent Sitzmann, Felix Heide, Gordon Wetzstein:
Unrolled Optimization with Deep Priors. CoRR abs/1705.08041 (2017) - [i4]Akshay Agrawal, Robin Verschueren, Steven Diamond, Stephen P. Boyd:
A Rewriting System for Convex Optimization Problems. CoRR abs/1709.04494 (2017) - [i3]Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein:
Robust Non-line-of-sight Imaging with Single Photon Detectors. CoRR abs/1711.07134 (2017) - 2016
- [j2]Steven Diamond, Stephen P. Boyd:
CVXPY: A Python-Embedded Modeling Language for Convex Optimization. J. Mach. Learn. Res. 17: 83:1-83:5 (2016) - [j1]Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein:
ProxImaL: efficient image optimization using proximal algorithms. ACM Trans. Graph. 35(4): 84:1-84:15 (2016) - [c9]Xinyue Shen, Steven Diamond, Yuantao Gu, Stephen P. Boyd:
Disciplined convex-concave programming. CDC 2016: 1009-1014 - [c8]Maria R. Lee, San Murugesan, Steven Diamond:
Message from the ITiP Symposium Chairs. COMPSAC 2016: 341 - [c7]Matt Wytock, Steven Diamond, Felix Heide, Stephen P. Boyd:
A New Architecture for Optimization Modeling Frameworks. PyHPC@SC 2016: 36-44 - 2015
- [c6]Maria R. Lee, Steven Diamond, San Murugesan, John W. Walz, Sorel Reisman:
Message from ITiP Symposium Organizing Committee. COMPSAC 2015: 893 - [c5]Steven Diamond, Stephen P. Boyd:
Convex Optimization with Abstract Linear Operators. ICCV 2015: 675-683 - [c4]Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen P. Boyd:
Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization. UAI 2015: 62-71 - [i2]David Hallac, Christopher Wong, Steven Diamond, Rok Sosic, Stephen P. Boyd, Jure Leskovec:
SnapVX: A Network-Based Convex Optimization Solver. CoRR abs/1509.06397 (2015) - 2014
- [c3]Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd:
Convex optimization in Julia. HPTCDL@SC 2014: 18-28 - [i1]Madeleine Udell, Karanveer Mohan, David Zeng, Jenny Hong, Steven Diamond, Stephen P. Boyd:
Convex Optimization in Julia. CoRR abs/1410.4821 (2014) - 2012
- [c2]Nicolas Kokkalis, Johannes Huebner, Steven Diamond, Dominic Becker, Michael Chang, Moontae Lee, Florian Schulze, Thomas Köhn, Scott R. Klemmer:
Automatically Providing Action Plans Helps People Complete Tasks. HCOMP@AAAI 2012
2000 – 2009
- 2009
- [c1]David Bernstein, Erik Ludvigson, Krishna Sankar, Steven Diamond, Monique Morrow:
Blueprint for the Intercloud - Protocols and Formats for Cloud Computing Interoperability. ICIW 2009: 328-336
Coauthor Index
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