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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models AISTATS 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Orthogonal Estimation of Wasserstein Distances AISTATS 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity AISTATS 2019
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019
Block Stability for MAP Inference AISTATS 2019
A Stein–Papangelou Goodness-of-Fit Test for Point Processes AISTATS 2019
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs AISTATS 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity AISTATS 2019
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019
Modularity-based Sparse Soft Graph Clustering AISTATS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Vine copula structure learning via Monte Carlo tree search AISTATS 2019
Blind Demixing via Wirtinger Flow with Random Initialization AISTATS 2019
An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019
Lifelong Optimization with Low Regret AISTATS 2019
Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019
Local Saddle Point Optimization: A Curvature Exploitation Approach AISTATS 2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019