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Continuous Optimization

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On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018
The Well-Tempered Lasso ICML 2018
Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018
Discovering Point Lights With Intensity Distance Fields CVPR 2018
Semi-Oblivious Traffic Engineering: The Road Not Taken NSDI 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018
Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018
Multi-scale Nystrom Method AISTATS 2018
IHT dies hard: Provable accelerated Iterative Hard Thresholding AISTATS 2018
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018
Stochastic Three-Composite Convex Minimization with a Linear Operator AISTATS 2018
Smooth and Sparse Optimal Transport AISTATS 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018
Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018
On Matching Pursuit and Coordinate Descent ICML 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018
An FPTAS for Computing Nash Equilibrium in Resource Graph Games IJCAI 2018
On denoising modulo 1 samples of a function AISTATS 2018
Loss Decomposition for Fast Learning in Large Output Spaces ICML 2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds NIPS 2018