Xiao Wang - RankMe

23 papers A* 10A 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. ICML Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher
2025	J	`jnl`	Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games. CoRR Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher
2024	A	`conf`	Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. UAI Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang
2024	J	`jnl`	Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games. CoRR Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang
2024	A*	`conf`	Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg. ICML Yi Feng, Georgios Piliouras, Xiao Wang
2024	J	`jnl`	Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg. CoRR Yi Feng, Georgios Piliouras, Xiao Wang
2023	A*	`conf`	On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails. NeurIPS Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang
2023	J	`jnl`	On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails. CoRR Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang
2023	J	`jnl`	Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2023	A*	`conf`	Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2022	A*	`conf`	Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always. IJCAI Yi Feng, Ioannis Panageas, Xiao Wang
2022	J	`jnl`	Accelerated Multiplicative Weights Update Avoids Saddle Points almost always. CoRR Yi Feng, Ioannis Panageas, Xiao Wang
2022	A*	`conf`	AdaGrad Avoids Saddle Points. ICML Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang
2021	J	`jnl`	Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics. CoRR Georgios Piliouras, Xiao Wang
2021	A	`conf`	Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. AISTATS Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
2020	J	`jnl`	Convergence to Second-Order Stationarity for Non-negative Matrix Factorization: Provably and Concurrently. CoRR Ioannis Panageas, Stratis Skoulakis, Antonios Varvitsiotis, Xiao Wang
2020	A*	`conf`	Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. ICLR Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
2020	A*	`conf`	Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. NeurIPS Xiao Wang, Qi Lei, Ioannis Panageas
2020	J	`jnl`	Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev. CoRR Xiao Wang, Qi Lei, Ioannis Panageas
2020	J	`jnl`	Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. CoRR Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
2019	J	`jnl`	Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. CoRR Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
2019	A*	`conf`	First-order methods almost always avoid saddle points: The case of vanishing step-sizes. NeurIPS Ioannis Panageas, Georgios Piliouras, Xiao Wang
2019	A*	`conf`	Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always. ICML Ioannis Panageas, Georgios Piliouras, Xiao Wang