Co-occurring keywords · papers mentioning both
Papers
Positive Definite Sparse Covariance Estimation via Dual Space Optimization
AAAI 2026
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
ICLR 2025
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
ICML 2025
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NeurIPS 2024
Characterizing the implicit bias via a primal-dual analysis
ALT 2021
Density Constrained Reinforcement Learning
ICML 2021
Fast margin maximization via dual acceleration
ICML 2021
Dual Iterative Hard Thresholding
JMLR 2020
Dual Mirror Descent for Online Allocation Problems
ICML 2020
A Dual Framework for Low-rank Tensor Completion
NeurIPS 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation
ICML 2018
High-dimensional Similarity Learning via Dual-sparse Random Projection
IJCAI 2018
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
ICML 2017
Lasso Screening Rules via Dual Polytope Projection
JMLR 2015
A Fast Semidefinite Approach to Solving Binary Quadratic Problems
CVPR 2013
Recovering the Optimal Solution by Dual Random Projection
COLT 2013
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
ICML 2013
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
NeurIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
NeurIPS 2012
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
NeurIPS 2007