# Reza Babanezhad

Affiliations:- SAIT AI Lab, Montreal, Canada
- University of British Columbia, Department of Computer Science, Vancouver, Canada

According to our database

Collaborative distances:

^{1}, Reza Babanezhad authored at least 27 papers between 2010 and 2024.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Dataset Other## Links

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## Bibliography

2024

Trans. Mach. Learn. Res., 2024

CoRR, 2024

2023

Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees.

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Proceedings of the International Conference on Machine Learning, 2023

Proceedings of the International Conference on Machine Learning, 2023

2022

Mach. Learn., 2022

CoRR, 2022

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent.

Proceedings of the International Conference on Machine Learning, 2022

2021

CoRR, 2021

Proceedings of the 38th International Conference on Machine Learning, 2021

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

CoRR, 2020

CoRR, 2020

Proceedings of the Domain Adaptation for Visual Understanding, 2020

2019

CoRR, 2019

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

CoRR, 2018

MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Proceedings of the 6th International Conference on Learning Representations, 2018

A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage.

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2016

Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions.

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence.

CoRR, 2015

CoRR, 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields.

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2010

Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010