Wayne Lin

12 papers B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimistic Online Learning in Symmetric Cone Games. Trans. Mach. Learn. Res. Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis
2025	—	`conf`	Learning and steering game dynamics towards desirable outcomes. L4DC Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras
2025	J	`jnl`	Learning in Quantum Common-Interest Games and the Separability Problem. Quantum Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
2025	J	`jnl`	Optimistic Online Learning in Symmetric Cone Games. CoRR Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis
2024	J	`jnl`	A Primal-Dual Framework for Symmetric Cone Programming. CoRR Jiaqi Zheng, Antonios Varvitsiotis, Tiow-Seng Tan, Wayne Lin
2024	J	`jnl`	No-Regret Learning and Equilibrium Computation in Quantum Games. Quantum Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
2024	J	`jnl`	Steering game dynamics towards desired outcomes. CoRR Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras
2023	J	`jnl`	Multiplicative Updates for Online Convex Optimization over Symmetric Cones. CoRR Ilayda Canyakmaz, Wayne Lin, Georgios Piliouras, Antonios Varvitsiotis
2023	J	`jnl`	No-Regret Learning and Equilibrium Computation in Quantum Games. CoRR Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
2023	J	`jnl`	Quantum Potential Games, Replicator Dynamics, and the Separability Problem. CoRR Wayne Lin, Georgios Piliouras, Ryann Sim, Antonios Varvitsiotis
2021	—	`conf`	A Robustly Optimized BERT Pre-training Approach with Post-training. CCL Zhuang Liu, Wayne Lin, Ya Shi, Jun Zhao
2021	B	`conf`	Multi-Task Deep Neural Networks for Multi-Document Reading Comprehension. IJCNN Chang Liu, Zhuang Liu, Wayne Lin, Jun Zhao