Online Learning under Delayed Feedback. - Pooria Joulani; András György 001; Csaba Szepesvári (ICML (3), 2013)

Fast Cross-Validation for Incremental Learning. - Pooria Joulani; András György 001; Csaba Szepesvári (IJCAI, 2015)

Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms. - Pooria Joulani; András György 001; Csaba Szepesvári (AAAI, 2016)

A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds. - Pooria Joulani; András György 001; Csaba Szepesvári (ALT, 2017)

Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging. - Pooria Joulani; András György 001; Csaba Szepesvári (NeurIPS, 2019)

A simpler approach to accelerated optimization: iterative averaging meets optimism. - Pooria Joulani; Anant Raj; András György 001; Csaba Szepesvári (ICML, 2020)

Provably Efficient Adaptive Approximate Policy Iteration. - Botao Hao; Nevena Lazic; Yasin Abbasi-Yadkori; Pooria Joulani; Csaba Szepesvári (CoRR, 2020)

A modular analysis of adaptive (non-)convex optimization: Optimism, composite objectives, variance reduction, and variational bounds. - Pooria Joulani; András György 001; Csaba Szepesvári (Theor. Comput. Sci., 2020)

Adaptive Approximate Policy Iteration. - Botao Hao; Nevena Lazic; Yasin Abbasi-Yadkori; Pooria Joulani; Csaba Szepesvári (AISTATS, 2021)

Adapting to Delays and Data in Adversarial Multi-Armed Bandits. - András György 001; Pooria Joulani (ICML, 2021)

Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning. - Anant Raj; Pooria Joulani; András György 001; Csaba Szepesvári (AISTATS, 2022)