Co-occurring keywords · papers mentioning both
Papers
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
ICML 2025
Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications
JMLR 2025
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
AISTATS 2024
Barrier Algorithms for Constrained Non-Convex Optimization
ICML 2024
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
AISTATS 2024
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
COLT 2024
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
NeurIPS 2024
Inference for probabilistic dependency graphs
UAI 2023
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
ICLR 2023
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
NeurIPS 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs
JMLR 2022
On the Complexity of Approximating Multimarginal Optimal Transport
JMLR 2022
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
ICML 2022
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
ICML 2021
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs
NeurIPS 2020
Interior Point Solving for LP-based prediction+optimisation
NeurIPS 2020
IPO: Interior-Point Policy Optimization under Constraints
AAAI 2020
Learning Linear Programs from Optimal Decisions
NeurIPS 2020
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
NeurIPS 2019
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time
COLT 2019
Fast MCMC Sampling Algorithms on Polytopes
JMLR 2018
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier
ICML 2016
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
NeurIPS 2015
Robust Regression on MapReduce
ICML 2013
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory
JMLR 2013