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Continuous Optimization

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Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance ICML 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems NIPS 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning NIPS 2020
Provable Overlapping Community Detection in Weighted Graphs NIPS 2020
Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency AISTATS 2020
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NIPS 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Continuous Regularized Wasserstein Barycenters NIPS 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs NIPS 2020
Debiased Sinkhorn barycenters ICML 2020
Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020
A convex optimization formulation for multivariate regression NIPS 2020
Neural Manifold Ordinary Differential Equations NIPS 2020
Conformal Symplectic and Relativistic Optimization NIPS 2020
Ratio Trace Formulation of Wasserstein Discriminant Analysis NIPS 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NIPS 2020
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NIPS 2020
Community detection using fast low-cardinality semidefinite programming NIPS 2020
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NIPS 2020
Learning to solve TV regularised problems with unrolled algorithms NIPS 2020
How many samples is a good initial point worth in Low-rank Matrix Recovery? NIPS 2020
A novel variational form of the Schatten-$p$ quasi-norm NIPS 2020
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems ICML 2020