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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)

Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019
Regularized Contextual Bandits AISTATS 2019
Matroids, Matchings, and Fairness AISTATS 2019
Consistent Online Optimization: Convex and Submodular AISTATS 2019
Least Squares Estimation of Weakly Convex Functions AISTATS 2019
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019
Unbiased Smoothing using Particle Independent Metropolis-Hastings AISTATS 2019
SMOGS: Social Network Metrics of Game Success AISTATS 2019
Fast Algorithms for Sparse Reduced-Rank Regression AISTATS 2019
Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019
Online learning with feedback graphs and switching costs AISTATS 2019
Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019
Overcomplete Independent Component Analysis via SDP AISTATS 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019
Adaptive MCMC via Combining Local Samplers AISTATS 2019
Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019
Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019
Efficient Greedy Coordinate Descent for Composite Problems AISTATS 2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics AISTATS 2019
Sobolev Descent AISTATS 2019
A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019
Minimum Volume Topic Modeling AISTATS 2019