Harikandeh, Reza Babanezhad

11 publications

TMLR 2025 (Accelerated) Noise-Adaptive Stochastic Heavy-Ball Momentum Anh Quang Dang, Reza Babanezhad Harikandeh, Sharan Vaswani

AISTATS 2025 Fast Convergence of SoftMax Policy Mirror Ascent Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

NeurIPSW 2024 Fast Convergence of SoftMax Policy Mirror Ascent for Bandits & Tabular MDPs Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

NeurIPS 2024 Iterative Methods via Locally Evolving Set Process Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao

TMLR 2024 Promoting Exploration in Memory-Augmented Adam Using Critical Momenta Pranshu Malviya, Goncalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar

NeurIPS 2023 Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad Harikandeh, Nicolas Le Roux

NeurIPSW 2023 Noise-Adaptive (Accelerated) Stochastic Heavy-Ball Momentum Anh Quang Dang, Reza Babanezhad Harikandeh, Sharan Vaswani

NeurIPSW 2023 Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani

NeurIPSW 2022 Target-Based Surrogates for Stochastic Optimization Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux

NeurIPS 2019 Reducing the Variance in Online Optimization by Transporting past Gradients Sébastien Arnold, Pierre-Antoine Manzagol, Reza Babanezhad Harikandeh, Ioannis Mitliagkas, Nicolas Le Roux

NeurIPS 2015 StopWasting My Gradients: Practical SVRG Reza Babanezhad Harikandeh, Mohamed Osama Ahmed, Alim Virani, Mark Schmidt, Jakub Konečný, Scott Sallinen