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Continuous Optimization

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Improving Optimization for Models With Continuous Symmetry Breaking ICML 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018
Stein Points ICML 2018
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018
In-Hand Manipulation via Motion Cones RSS 2018
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms ICML 2018
Randomized Block Cubic Newton Method ICML 2018
Adaptive Three Operator Splitting ICML 2018
Non-convex Conditional Gradient Sliding ICML 2018
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation ICML 2018
A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form COLT 2018
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent COLT 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018
Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance COLT 2018
Minimax Bounds on Stochastic Batched Convex Optimization COLT 2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization COLT 2018
Hidden Integrality of SDP Relaxations for Sub-Gaussian Mixture Models COLT 2018
An explicit analysis of the entropic penalty in linear programming COLT 2018
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018
ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018
Langevin Monte Carlo and JKO splitting COLT 2018
Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018