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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Smooth and Sparse Optimal Transport AISTATS 2018
Robust Maximization of Non-Submodular Objectives AISTATS 2018
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach AISTATS 2018
Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018
Learning to Round for Discrete Labeling Problems AISTATS 2018
Approximate Ranking from Pairwise Comparisons AISTATS 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018
Submodularity on Hypergraphs: From Sets to Sequences AISTATS 2018
Provable Estimation of the Number of Blocks in Block Models AISTATS 2018
Sketching for Kronecker Product Regression and P-splines AISTATS 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018
Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018
Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018
Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS 2018
Generalized Binary Search For Split-Neighborly Problems AISTATS 2018
Online Regression with Partial Information: Generalization and Linear Projection AISTATS 2018
Learning Generative Models with Sinkhorn Divergences AISTATS 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018