7 citations · 11 across the 6 of their papers we have counts for
6 papers
Breakthrough the Suboptimal Stable Point in Value-Factorization-Based Multi-Agent Reinforcement Learning
Lesong Tao, Yifei Wang, Haodong Jing +4
Value factorization, a popular paradigm in MARL, faces significant theoretical and algorithmic bottlenecks: its tendency to converge to suboptimal solutions remains poorly understo…
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
Yifei Wang, Tavor Baharav, Yanjun Han +2
In the infinite-armed bandit problem, each arm's average reward is sampled from an unknown distribution, and each arm can be sampled further to obtain noisy estimates of the averag…
Sketching the Krylov Subspace: Faster Computation of the Entire Ridge Regularization Path
Yifei Wang, Mert Pilanci
We propose a fast algorithm for computing the entire ridge regression regularization path in nearly linear time. Our method constructs a basis on which the solution of ridge regres…
A stochastic Stein Variational Newton method
Alex Leviyev, Joshua Chen, Yifei Wang +2
Stein variational gradient descent (SVGD) is a general-purpose optimization-based sampling algorithm that has recently exploded in popularity, but is limited by two issues: it is k…
A Decomposition Augmented Lagrangian Method for Low-rank Semidefinite Programming
Yifei Wang, Kangkang Deng, Haoyang Liu +1
We develop a decomposition method based on the augmented Lagrangian framework to solve a broad family of semidefinite programming problems, possibly with nonlinear objective functi…
The Search direction Correction makes first-order methods faster
Yifei Wang, Zeyu Jia, Zaiwen Wen
The so-called fast inertial relaxation engine is a first-order method for unconstrained smooth optimization problems. It updates the search direction by a linear combination of the…