Ali Siahkamari

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Convex Functions

Top Venues

Publications

Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis
Faster Algorithms for Learning Convex Functions. ICML (2022)
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR (2021)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. CoRR (2020)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. ICML (2020)
Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David A. Castañón, Brian Kulis
Learning to Approximate a Bregman Divergence. NeurIPS (2020)
Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis
Learning Bregman Divergences. CoRR (2019)
Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. ISMIR (2018)
Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. CoRR (2018)