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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)

Learning Sparse Nonparametric DAGs AISTATS 2020
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits AISTATS 2020
Understanding the Effects of Batching in Online Active Learning AISTATS 2020
Adaptive multi-fidelity optimization with fast learning rates AISTATS 2020
On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020
Adaptive Exploration in Linear Contextual Bandit AISTATS 2020
Learning piecewise Lipschitz functions in changing environments AISTATS 2020
Optimal Approximation of Doubly Stochastic Matrices AISTATS 2020
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option AISTATS 2020
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best AISTATS 2020
Hamiltonian Monte Carlo Swindles AISTATS 2020
A single algorithm for both restless and rested rotting bandits AISTATS 2020
Online Batch Decision-Making with High-Dimensional Covariates AISTATS 2020
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020
One Sample Stochastic Frank-Wolfe AISTATS 2020
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data AISTATS 2020
Optimal Algorithms for Multiplayer Multi-Armed Bandits AISTATS 2020
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems AISTATS 2020
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020
Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020
Sublinear Optimal Policy Value Estimation in Contextual Bandits AISTATS 2020