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Ali Siahkamari
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2020 – today
- 2022
- [c4]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Algorithms for Learning Convex Functions. ICML 2022: 20176-20194 - 2021
- [i4]Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis:
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR abs/2111.01348 (2021) - 2020
- [c3]Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama:
Piecewise Linear Regression via a Difference of Convex Functions. ICML 2020: 8895-8904 - [c2]Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David A. Castañón, Brian Kulis:
Learning to Approximate a Bregman Divergence. NeurIPS 2020 - [i3]Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama:
Piecewise Linear Regression via a Difference of Convex Functions. CoRR abs/2007.02422 (2020)
2010 – 2019
- 2019
- [i2]Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis:
Learning Bregman Divergences. CoRR abs/1905.11545 (2019) - 2018
- [c1]Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis:
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. ISMIR 2018: 182-189 - [i1]Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis:
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. CoRR abs/1806.09905 (2018)
Coauthor Index
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