Babanezhad, Reza

8 publications

MLJ 2022 SVRG Meets AdaGrad: Painless Variance Reduction Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Simon Lacoste-Julien

ICML 2022 Towards Noise-Adaptive, Problem-Adaptive (Accelerated) Stochastic Gradient Descent Sharan Vaswani, Benjamin Dubois-Taine, Reza Babanezhad

UAI 2022 Towards Painless Policy Optimization for Constrained MDPs Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvári, Doina Precup

AISTATS 2021 An Analysis of the Adaptation Speed of Causal Models Rémi Le Priol, Reza Babanezhad, Yoshua Bengio, Simon Lacoste-Julien

ICML 2021 Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang

ECML-PKDD 2018 MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds Reza Babanezhad, Issam H. Laradji, Alireza Shafaei, Mark Schmidt

UAI 2016 Faster Stochastic Variational Inference Using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama

AISTATS 2015 Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields Mark Schmidt, Reza Babanezhad, Mohamed Osama Ahmed, Aaron Defazio, Ann Clifton, Anoop Sarkar