399 citations · 3.4k across the 95 of their papers we have counts for
4 papers · 1 filter
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
Sridhar Mahadevan, Bo Liu, Philip Thomas +5
In this paper, we set forth a new vision of reinforcement learning developed by us over the past few years, one that yields mathematically rigorous solutions to longstanding import…
Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties
Ji Liu, Stephen J. Wright
We describe an asynchronous parallel stochastic proximal coordinate descent algorithm for minimizing a composite objective function, which consists of a smooth convex function plus…
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu, Ryohei Fujimaki, Jieping Ye
We consider forward-backward greedy algorithms for solving sparse feature selection problems with general convex smooth functions. A state-of-the-art greedy method, the Forward-Bac…
An Asynchronous Parallel Randomized Kaczmarz Algorithm
Ji Liu, Stephen J. Wright, Srikrishna Sridhar
We describe an asynchronous parallel variant of the randomized Kaczmarz (RK) algorithm for solving the linear system . The analysis shows linear convergence and indicates tha…