Co-occurring keywords · papers mentioning both
Papers
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
AISTATS 2022
Online Matching with Controllable Rewards and Arrival Probabilities
IJCAI 2022
On the Efficiency of Entropic Regularized Algorithms for Optimal Transport
JMLR 2022
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods
COLT 2022
Towards painless policy optimization for constrained MDPs
UAI 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
ICML 2022
A first-order primal-dual method with adaptivity to local smoothness
NeurIPS 2021
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs
ICCV 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
ICML 2021
Efficiently Solving MDPs with Stochastic Mirror Descent
ICML 2020
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
ICML 2020
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
NeurIPS 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent
JMLR 2020
The Primal-Dual method for Learning Augmented Algorithms
NeurIPS 2020
A new dog learns old tricks: RL finds classic optimization algorithms
ICLR 2019
Constrained Reinforcement Learning Has Zero Duality Gap
NeurIPS 2019
Hamiltonian descent for composite objectives
NeurIPS 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
AAAI 2019
Primal-Dual Block Generalized Frank-Wolfe
NeurIPS 2019
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
NeurIPS 2018
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data
IJCAI 2018
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
NeurIPS 2018
Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach
NeurIPS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
NeurIPS 2018