Alex Ayoub - RankMe

21 papers A* 6A 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Simple Regret Algorithms for Stochastic Contextual Bandits. CoRR Shuai Liu, Alireza Bakhtiari, Alex Ayoub, Botao Hao, Csaba Szepesvári
2026	J	`jnl`	Eluder dimension: localise it! CoRR Alireza Bakhtiari, Alex Ayoub, Samuel Robertson, David Janz, Csaba Szepesvári
2025	A*	`conf`	Does Weighting Improve Matrix Factorization for Recommender Systems? WWW Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
2025	J	`jnl`	Does Weighting Improve Matrix Factorization for Recommender Systems? CoRR Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus
2025	J	`jnl`	Learning to Reason Efficiently with Discounted Reinforcement Learning. CoRR Alex Ayoub, Kavosh Asadi, Dale Schuurmans, Csaba Szepesvári, Karim Bouyarmane
2025	J	`jnl`	Rectifying Regression in Reinforcement Learning. CoRR Alex Ayoub, David Szepesvari, Alireza Baktiari, Csaba Szepesvári, Dale Schuurmans
2024	A*	`conf`	Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits. NeurIPS Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári
2024	J	`jnl`	Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits. CoRR Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári
2024	A	`conf`	Exploration via linearly perturbed loss minimisation. AISTATS David Janz, Shuai Liu, Alex Ayoub, Csaba Szepesvári
2024	J	`jnl`	Mitigating the Curse of Horizon in Monte-Carlo Returns. RLJ Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans
2024	A*	`conf`	Switching the Loss Reduces the Cost in Batch Reinforcement Learning. ICML Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2024	J	`jnl`	Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
2023	J	`jnl`	Exploration via linearly perturbed loss minimisation. CoRR David Janz, Shuai Liu, Alex Ayoub, Csaba Szepesvári
2023	A*	`conf`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. NeurIPS Zichen Vincent Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2023	J	`jnl`	Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning. Trans. Mach. Learn. Res. Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White
2022	J	`jnl`	Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. CoRR Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans
2021	J	`jnl`	An Elementary Proof that Q-learning Converges Almost Surely. CoRR Matthew T. Regehr, Alex Ayoub
2021	J	`jnl`	Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang
2021	A*	`conf`	Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
2020	A*	`conf`	Model-Based Reinforcement Learning with Value-Targeted Regression. ICML Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin Yang
2020	J	`jnl`	Model-Based Reinforcement Learning with Value-Targeted Regression. CoRR Alex Ayoub, Zeyu Jia, Csaba Szepesvári, Mengdi Wang, Lin F. Yang