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Continuous Optimization

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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NIPS 2019
Distributed Low-rank Matrix Factorization With Exact Consensus NIPS 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NIPS 2019
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NIPS 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Ultrametric Fitting by Gradient Descent NIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019
Necessary and Sufficient Geometries for Gradient Methods NIPS 2019
An adaptive Mirror-Prox method for variational inequalities with singular operators NIPS 2019
Alleviating Label Switching with Optimal Transport NIPS 2019
Implicit Regularization of Accelerated Methods in Hilbert Spaces NIPS 2019
Hamiltonian descent for composite objectives NIPS 2019
Fast Sparse Group Lasso NIPS 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method NIPS 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
Subquadratic High-Dimensional Hierarchical Clustering NIPS 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
On the Curved Geometry of Accelerated Optimization NIPS 2019
Learning to Optimize in Swarms NIPS 2019
Towards a Zero-One Law for Column Subset Selection NIPS 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections NIPS 2019
Primal-Dual Block Generalized Frank-Wolfe NIPS 2019