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Pooria Joulani
Pooria Joulani
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Verified email at ualberta.ca - Homepage
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Year
Online learning under delayed feedback
P Joulani, A Gyorgy, C Szepesvári
International conference on machine learning, 1453-1461, 2013
2972013
Delay-tolerant online convex optimization: Unified analysis and adaptive-gradient algorithms
P Joulani, A Gyorgy, C Szepesvári
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
582016
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, and variational bounds
P Joulani, A György, C Szepesvári
International Conference on Algorithmic Learning Theory, 681-720, 2017
362017
A simpler approach to accelerated optimization: iterative averaging meets optimism
P Joulani, A Raj, A Gyorgy, C Szepesvári
International conference on machine learning, 4984-4993, 2020
282020
Adapting to delays and data in adversarial multi-armed bandits
A Gyorgy, P Joulani
International Conference on Machine Learning, 3988-3997, 2021
272021
A modular analysis of adaptive (non-) convex optimization: Optimism, composite objectives, variance reduction, and variational bounds
P Joulani, A György, C Szepesvári
Theoretical Computer Science 808, 108-138, 2020
182020
Provably efficient adaptive approximate policy iteration
B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari
arXiv preprint arXiv:2002.03069, 2020
172020
Fast cross-validation for incremental learning
P Joulani, A György, C Szepesvári
arXiv preprint arXiv:1507.00066, 2015
152015
Adaptive approximate policy iteration
B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvári
International Conference on Artificial Intelligence and Statistics, 523-531, 2021
112021
A., AND SZEPESV ARI, C
P Joulani, GY ORGY
Online learning under delayed feedback. In ICML, 2013
82013
Think out of the" box": Generically-constrained asynchronous composite optimization and hedging
P Joulani, A György, C Szepesvári
Advances in Neural Information Processing Systems 32, 2019
62019
Multi-armed bandit problems under delayed feedback
P Joulani
52012
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning
A Raj, P Joulani, A Gyorgy, C Szepesvári
International Conference on Artificial Intelligence and Statistics, 7176-7186, 2022
12022
A unified modular analysis of online and stochastic optimization: Adaptivity, optimism, non-convexity
P Joulani, A Gyorgy, C Szepesvari
OPT 2016 (NIPS Workshop on Optimization), 2016
12016
Online optimization for machine learning: parallelism, adaptivity, and model selection
P Joulani
2019
Classification with Margin Constraints: A Unification with Applications to Optimization
P Joulani, A György, C Szepesvári
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Articles 1–16