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Continuous Optimization

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Accelerated Flow for Probability Distributions ICML 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019
Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019
Implicit Regularization for Optimal Sparse Recovery NIPS 2019
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NIPS 2019
Competitive Gradient Descent NIPS 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions NIPS 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm NIPS 2019
Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019
Spectral Approximate Inference ICML 2019
Generalized Majorization-Minimization ICML 2019
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search ICML 2019
Geometric Losses for Distributional Learning ICML 2019
The Wasserstein Transform ICML 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019
Total Least Squares Regression in Input Sparsity Time NIPS 2019
Fast and Accurate Least-Mean-Squares Solvers NIPS 2019
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NIPS 2019
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
Complexity of Highly Parallel Non-Smooth Convex Optimization NIPS 2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares NIPS 2019
Tree-Sliced Variants of Wasserstein Distances NIPS 2019