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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)

Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Bandit Online Learning with Unknown Delays AISTATS 2019
Conditional Sparse $L_p$-norm Regression With Optimal Probability AISTATS 2019
Autoencoding any Data through Kernel Autoencoders AISTATS 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
No-regret algorithms for online $k$-submodular maximization AISTATS 2019
Feature subset selection for the multinomial logit model via mixed-integer optimization AISTATS 2019
Restarting Frank-Wolfe AISTATS 2019
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms AISTATS 2019
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization AISTATS 2019
Wasserstein regularization for sparse multi-task regression AISTATS 2019
Projection Free Online Learning over Smooth Sets AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Stochastic algorithms with descent guarantees for ICA AISTATS 2019
Differentially Private Online Submodular Minimization AISTATS 2019
Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019
MaxHedge: Maximizing a Maximum Online AISTATS 2019
Towards Optimal Transport with Global Invariances AISTATS 2019
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature AISTATS 2019
Projection-Free Bandit Convex Optimization AISTATS 2019